Source Code 1994 March/Source_Code_CD-ROM_Walnut_Creek_March_1994.iso/compsrcs/misc/volume38/lic/part05

Text File | 1993-08-11 | 65.9 KB | 2,545 lines

Newsgroups: comp.sources.misc
From: [e-mail] (Casey Leedom)
Subject: v38i108:  lic - LLNL Line Integral Convolution, v1.2, Part05/10
Message-ID: <[e-mail]>
X-Md4-Signature: fa57ed27a0dfb0a6ea8b2945d6efcaa1
Sender: [e-mail] (Kent Landfield)
Organization: Sterling Software
Date: Thu, 12 Aug 1993 01:38:50 GMT
Approved: [e-mail]

Submitted-by: [e-mail] (Casey Leedom)
Posting-number: Volume 38, Issue 108
Archive-name: lic/part05
Environment: UNIX

#! /bin/sh
# This is a shell archive.  Remove anything before this line, then feed it
# into a shell via "sh file" or similar.  To overwrite existing files,
# type "sh file -c".
# Contents:  lic.1.2/avs/LIC.c lic.1.2/doc/siggraph93/paper.ps.A
# Wrapped by kent@sparky on Wed Aug 11 19:38:04 1993
PATH=/bin:/usr/bin:/usr/ucb:/usr/local/bin:/usr/lbin ; export PATH
echo If this archive is complete, you will see the following message:
echo '          "shar: End of archive 5 (of 10)."'
if test -f 'lic.1.2/avs/LIC.c' -a "${1}" != "-c" ; then
  echo shar: Will not clobber existing file \"'lic.1.2/avs/LIC.c'\"
else
  echo shar: Extracting \"'lic.1.2/avs/LIC.c'\" \(14330 characters\)
  sed "s/^X//" >'lic.1.2/avs/LIC.c' <<'END_OF_FILE'
X/*
X * $Header: /d/sisal/a/casey/tmp/lic/avs/RCS/LIC.c,v 1.18 1993/08/11 17:25:35 casey Exp $
X */
X
X/*
X * Copyright (c) 1993 The Regents of the University of California.
X * All rights reserved.
X *
X * Redistribution and use in source and binary forms, with or without
X * modification, are permitted provided that the following conditions
X * are met:
X * 1. Redistributions of source code must retain the above copyright
X *    notice, this list of conditions and the following disclaimer.
X * 2. Redistributions in binary form must reproduce the above copyright
X *    notice, this list of conditions and the following disclaimer in the
X *    documentation and/or other materials provided with the distribution.
X * 3. All advertising materials mentioning features or use of this software
X *    must display the following acknowledgement:
X *    This product includes software developed by the University of
X *    California, Lawrence Livermore National Laboratory and its
X *    contributors.
X * 4. Neither the name of the University nor the names of its contributors
X *    may be used to endorse or promote products derived from this software
X *    without specific prior written permission.
X *
X * THIS SOFTWARE IS PROVIDED BY THE REGENTS AND CONTRIBUTORS ``AS IS'' AND
X * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
X * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
X * ARE DISCLAIMED.  IN NO EVENT SHALL THE REGENTS OR CONTRIBUTORS BE LIABLE
X * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
X * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS
X * OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
X * HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
X * LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
X * OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
X * SUCH DAMAGE.
X */
X
X#ifndef lint
X    static char rcsid[] = "$Header: /d/sisal/a/casey/tmp/lic/avs/RCS/LIC.c,v 1.18 1993/08/11 17:25:35 casey Exp $";
X    static char copyright[] =
X    "Copyright (c) 1993 The Regents of the University of California.\n"
X    "All rights reserved.\n";
X#endif
X
X
X/*
X * AVS coroutine module interface to the LIC library.  Only handles
X * two-dimensional input and output fields.
X */
X
X
X#include <stdlib.h>
X#include <unistd.h>
X#include <errno.h>
X#include <string.h>
X#include <stdio.h>
X#include <time.h>
X#include <sys/times.h>
X#include <sys/types.h>
X
X#include <math.h>
X
X#include <avs/avs.h>
X#include <avs/field.h>
X
X#include <lic.h>
X
X
X#ifndef M_PI
X#   define M_PI  3.141592653589793116
X#endif
X
X
X#ifdef OUTPUT_INTERMEDIATE_RESULTS
X    AVSfield_char *OutputImage;
X#endif
X
X
X#define LIC_ANIMATION_FRAMES    10    /* number of frames in an animation */
X
X
X/*
X * Local support routines.
X */
Xstatic int  DescribeModule(void);
Xstatic void UpdateStatus(double percent);
Xstatic void ReportError(const char *message);
X
X
Xint
Xmain(int argc, char *argv[])
X    /*
X     * LIC AVS coroutine module main.
X     */
X{
X    long clk_tck = sysconf(_SC_CLK_TCK);
X
X    /*
X     * Tell AVS who and what we are.
X     */
X    AVScorout_init(argc, argv, DescribeModule);
X
X    /*
X     * Loop forever waiting on module inputs and parameter changes.  For each
X     * loop where both inputs are available, run LIC over them with the
X     * current parameters.
X     */
X    while (TRUE)
X    {
X    float           ncells;
X    int             p;
X    LIC            *LICinstance;
X
X    /*
X     * AVS interface input parameters.
X     */
X    AVSfield_char  *itexture, *oimage;
X    AVSfield_float *ifield;
X    int             length;
X    float          *frequency;
X    int             Vlength;
X    int             Vspeed;
X    char           *filter_name, *normalization_name;
X    int             animate;
X    int             Dr, Dg, Db, Da;
X
X    /*
X     * Decoded AVS parameters and dummy placeholder.
X     */
X    char           *dummy;
X    LIC_Filter      filter;
X    int             normalization;
X
X    /* Wait for either a parameter change or input change */
X    AVScorout_wait();
X
X    /* Fetch the module inputs */
X    (void)AVScorout_input(&itexture, &ifield,
X                  &dummy, &filter_name,
X                  &dummy, &normalization_name,
X                  &dummy, &length, &frequency, &Vlength, &Vspeed,
X                  &dummy, &animate,
X                  &dummy, &Dr, &Dg, &Db, &Da,
X                  &dummy);
X
X
X    /* decode filter type -- BOX is the default */
X    if (strcmp(filter_name, "Box") == 0)
X        filter = LIC_Box;
X    else if (strcmp(filter_name, "Ripple") == 0)
X        filter = LIC_Ripple;
X    else if (strcmp(filter_name, "Ramp") == 0)
X        filter = LIC_Ramp;
X    else if (strcmp(filter_name, "Selection") == 0)
X        filter = LIC_Select;
X    else
X        filter = LIC_Box;
X
X    /* decode normalization type -- VARIABLE is the default */
X    if (strcmp(normalization_name, "Variable") == 0)
X        normalization = LIC_VARIABLE;
X    else if (strcmp(normalization_name, "Fixed") == 0)
X        normalization = LIC_FIXED;
X    else
X        normalization = LIC_VARIABLE;
X
X    if (AVSparameter_changed("Filter type"))
X    {
X        /* change visibility of interface options based on filter type */
X        if (filter == LIC_Ripple)
X        {
X        AVSparameter_visible("Frequency",                TRUE);
X        AVSparameter_visible("Variable speed filtering", TRUE);
X        AVSparameter_visible("Animate",                  TRUE);
X        }
X        else
X        {
X        AVSparameter_visible("Frequency",                FALSE);
X        AVSparameter_visible("Variable speed filtering", FALSE);
X        AVSparameter_visible("Animate",                  FALSE);
X        }
X    }
X
X    /* Don't really compute until we have both our input streams */
X    if (itexture == NULL  || ifield == NULL)
X        continue;
X
X    ncells = MAXX(ifield) * MAXY(ifield);
X
X    /*
X     * Allocate space for output image, label it and set its extents.
X     */
X    {
X        int dims[2];
X        float min_extent[2], max_extent[2];
X
X        dims[0] = MAXX(ifield);
X        dims[1] = MAXY(ifield);
X        oimage = (AVSfield_char *)
X        AVSdata_alloc("field 2D 4-vector 2-space byte", dims);
X        AVSfield_set_labels((AVSfield *)oimage, "alpha;red;green;blue", ";");
X        min_extent[0] = 0.0;
X        max_extent[0] = (float) MAXX(oimage) - 1.0;
X        min_extent[1] = 0.0;
X        max_extent[1] = (float) MAXY(oimage) - 1.0;
X        AVSfield_set_extent((AVSfield *)oimage, min_extent, max_extent);
X#        ifdef OUTPUT_INTERMEDIATE_RESULTS
X        OutputImage = oimage;
X#        endif
X    }
X
X    /*
X     * Allow animation if and only if using the ripple filter ...
X     */
X    animate = animate && (filter == LIC_Ripple);
X
X    /*
X     * Create an instance of the Line Integral Convolver object
X     */
X    LICinstance =
X        LIC_Create(itexture->data, MAXX(itexture), MAXY(itexture), 1,
X               ifield->data,   MAXX(ifield),   MAXY(ifield),   1,
X               oimage->data,
X               filter,
X               normalization,
X               FALSE,
X               (double)length,
X               (double)*frequency,
X               Vlength,
X               Vspeed && (filter == LIC_Ripple),
X               Dr, Dg, Db, Da,
X               UpdateStatus,
X               ReportError);
X
X
X    /*
X     * Loop over all the phases if the animate flag is true
X     * else only do one iteration with p == 0.
X     */
X    for (p = 0; animate ? p < LIC_ANIMATION_FRAMES : p == 0; p++)
X    {
X#if defined(HAS_OLD_TIMES)
X        time_t     t0;
X#endif
X        clock_t    t0_clk, tN_clk;
X        struct tms t0_tms, tN_tms;
X        double     wall, cpu;
X        char       PerformanceString[256];
X
X        LIC_ChangePhase(LICinstance, (double)p/LIC_ANIMATION_FRAMES * 2*M_PI);
X
X        /*
X         * Build integral tables here so the build isn't computed as part
X         * of time to compute the image.
X         */
X        LIC_BuildIntegralTables(LICinstance);
X
X        /*
X         * Set the LIC performance counters to zero and grab the start
X         * time.
X         */
X        LICinstance->TotalLoopCount = 0;
X        LICinstance->TotalLength    = 0;
X#if defined(HAS_OLD_TIMES)
X        t0 = time(NULL);
X#endif
X        t0_clk = times(&t0_tms);
X
X        /*
X         * Do the Line Integral Convolutions over the entire input data set
X         */
X        LIC_ComputeImage(LICinstance);
X
X        /*
X         * Grab termination time and output performance statistics.
X         */
X        tN_clk = times(&tN_tms);
X#if defined(HAS_OLD_TIMES)
X        wall   = (double)(time(NULL)       - t0);
X#else
X        wall   = (double)(tN_clk           - t0_clk          )/clk_tck;
X#endif
X        cpu    = (double)(tN_tms.tms_utime - t0_tms.tms_utime)/clk_tck;
X        if (wall == 0.0)
X        wall = 1.0e-6;
X        if (cpu == 0.0)
X        cpu  = 1.0e-6;
X        sprintf(PerformanceString,
X            "Performance statistics\n"
X            "--------------------------------\n"
X            "Iteration = %d\n"
X            "CPU utilization = %d%%\n"
X            "CPU time (seconds) = %.2f\n"
X            "Cells processed per second = %.2f\n"
X            "Ave loop count = %.2f\n"
X            "Ave length = %.2f\n",
X            p,
X            (int)(cpu/wall*100),
X            cpu,
X            ncells / cpu,
X            (float)LICinstance->TotalLoopCount / ncells / 2,
X            (float)LICinstance->TotalLength    / ncells / 2);
X        AVSmodify_parameter("Performance stats", AVS_VALUE,
X                PerformanceString, 0, 0);
X
X        /* Flush AVS's output port */
X        AVScorout_output(oimage);
X    }
X
X    /*
X     * Destroy the LIC object, free the output image memory and loop
X     * back for another round of watching our inputs and parameters ...
X     */
X    LIC_Destroy(LICinstance);
X    AVSdata_free("field", (char *)oimage);
X    }
X    /*NOTREACHED*/
X}
X
X
Xstatic int
XDescribeModule(void)
X    /*
X     * AVS LIC coroutine module description.
X     */
X{
X    AVSset_module_name("LIC", MODULE_MAPPER);
X
X    /*
X     * Create ports for the required input and output fields.
X     */
X    AVScreate_input_port("Input Texture", "field 4-vector byte", OPTIONAL);
X    AVScreate_input_port("Input Field", "field 2D 2-vector float", OPTIONAL);
X    AVScreate_output_port("Output Image", "field 2D 4-vector 2-space byte");
X
X    /*
X     * Create input parameters to widgets.
X     * -----------------------------------
X     */
X
X    /*
X     * Basic filter type and normalization.
X     */
X    AVSadd_parameter("Label 1", "string_block", "Filter type", 0, 0);
X    AVSadd_parameter("Filter type", "choice", "Box", "Box!Ripple!Ramp!Select", "!");
X    AVSadd_parameter("Label 2", "string_block", "Normalization type", 0, 0);
X    AVSadd_parameter("Normalization type", "choice", "Variable",
X             "Fixed!Variable", "!");
X
X    /*
X     * Filter control: length, frequency, variable length and variable speed.
X     */
X    AVSadd_parameter("Label 3", "string_block", "Filter control", 0, 0);
X    AVSadd_parameter("Length", "integer", 10, 0, 1000);
X    AVSadd_float_parameter("Frequency", 3.0, 0.001, 100.0);
X    AVSadd_parameter("Variable length filtering", "boolean", FALSE, FALSE,
X             TRUE);
X    AVSadd_parameter("Variable speed filtering", "boolean", FALSE, FALSE,
X             TRUE);
X
X    /*
X     * Animation control.
X     */
X    AVSadd_parameter("Label 4", "string_block", "Animation control", 0, 0);
X    AVSadd_parameter("Animate", "boolean", FALSE, FALSE, TRUE);
X
X    /*
X     * Default pixel value for zero vectors.
X     */
X    AVSadd_parameter("Label 5", "string_block", "Default pixel value", 0, 0);
X    AVSadd_parameter("Red",   "integer", -1, -1, 255);
X    AVSadd_parameter("Green", "integer", -1, -1, 255);
X    AVSadd_parameter("Blue",  "integer", -1, -1, 255);
X    AVSadd_parameter("Alpha", "integer", -1, -1, 255);
X
X    /*
X     * Performance display.
X     */
X    AVSadd_parameter("Performance stats", "string_block",
X             "Performance statistics\n"
X             "-----------------------------",
X             0, 0);
X
X    /*
X     * Create widgets and bind them to the above parameters.
X     * -----------------------------------------------------
X     */
X
X#define MM(widget, pos, vis, type) \
X    " manipulator $Module:\"" widget "\"" \
X    " -w " type " -p $Module -xy " pos " " vis "\n"
X
X#define MM_LABEL( widget, pos, vis) MM(widget, pos, vis, "textblock")
X#define MM_RADIO( widget, pos, vis) MM(widget, pos, vis, "radio_buttons")
X#define MM_TOGGLE(widget, pos, vis) MM(widget, pos, vis, "toggle")
X#define MM_INT(   widget, pos, vis) MM(widget, pos, vis, "typein_integer")
X#define MM_REAL(  widget, pos, vis) MM(widget, pos, vis, "typein_real")
X
X    AVSadd_parameter_prop(0, "layout", "string_block",
X    "panel $Module -w panel -p \"Top Level Stack\" -wh 210,800 -xy 0,50\n"
X    MM_LABEL ("Label 1",                   "10,12",   "-show")
X    MM_RADIO ("Filter type",               "10,39",   "-show")
X    MM_LABEL ("Label 2",                   "10,135",  "-show")
X    MM_RADIO ("Normalization type",        "10,164",  "-show")
X    MM_LABEL ("Label 3",                   "10,223",  "-show")
X    MM_INT   ("Length",                    "10,248",  "-show")
X    MM_REAL  ("Frequency",                 "150,248", "-hide")
X    MM_TOGGLE("Variable length filtering", "10,274",  "-show")
X    MM_TOGGLE("Variable speed filtering",  "10,299",  "-hide")
X    MM_LABEL ("Label 4",                   "10,332",  "-show")
X    MM_TOGGLE("Animate",                   "10,358",  "-hide")
X    MM_LABEL ("Label 5",                   "10,397",  "-show")
X    MM_INT   ("Red",                       "10,423",  "-show")
X    MM_INT   ("Green",                     "10,449",  "-show")
X    MM_INT   ("Blue",                      "10,475",  "-show")
X    MM_INT   ("Alpha",                     "10,501",  "-show")
X    MM_LABEL ("Performance stats",         "10,530",  "-show"));
X
X#undef MM_LABEL
X#undef MM_RADIO
X#undef MM_TOGGLE
X#undef MM_INT
X#undef MM_REAL
X#undef MM
X
X    /*
X     * The width and hieght should be controlled by the previous call,
X     * but an AVS "layout" bug prevents this, so we do it by hand.
X     */
X
X#define WH(param, w, h) \
X    AVSadd_parameter_prop(param,  "width",  "integer", w); \
X    AVSadd_parameter_prop(param,  "height", "integer", h);
X
X    WH(0,  4, 1);    WH(1,  2, 2);    WH(2,  4, 1);    WH(3,  3, 4);
X    WH(4,  4, 1);    WH(5,  2, 1);    WH(6,  2, 1);    WH(7,  5, 1);
X    WH(8,  5, 1);    WH(9,  4, 1);    WH(10, 3, 1);    WH(11, 4, 1);
X    WH(12, 3, 1);    WH(13, 3, 1);    WH(14, 3, 1);    WH(15, 3, 1);
X    WH(16, 4, 6);
X
X#undef WH
X
X    return(1);
X}
X
X
Xstatic void
XUpdateStatus(double percent)
X    /*
X     * Update callback routine, used by LIC_Compute to keep the user
X     * informed of computation progress.
X     */
X{
X    char str[32];
X
X    sprintf(str, "Convolving  %6.2f%%", percent);
X    AVSmodule_status(str, (int)percent);
X
X#   ifdef OUTPUT_INTERMEDIATE_RESULTS
X    AVScorout_output(OutputImage);
X#   endif
X}
X
X
Xstatic void
XReportError(const char *message)
X    /*
X     * Report a LIC error by having AVS display it for us.
X     */
X{
X    (void)AVSerror((char *)message);
X}
END_OF_FILE
  if test 14330 -ne `wc -c <'lic.1.2/avs/LIC.c'`; then
    echo shar: \"'lic.1.2/avs/LIC.c'\" unpacked with wrong size!
  fi
  # end of 'lic.1.2/avs/LIC.c'
fi
if test -f 'lic.1.2/doc/siggraph93/paper.ps.A' -a "${1}" != "-c" ; then
  echo shar: Will not clobber existing file \"'lic.1.2/doc/siggraph93/paper.ps.A'\"
else
  echo shar: Extracting \"'lic.1.2/doc/siggraph93/paper.ps.A'\" \(47609 characters\)
  sed "s/^X//" >'lic.1.2/doc/siggraph93/paper.ps.A' <<'END_OF_FILE'
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X612 792 0 FMBEGINPAGE
X0 9 Q
X0 X
X0 K
X(ABSTRACT) 54 560.71 T
X1 F
X-0.1 (Imaging vector \336elds has applications in science, art, image pro-) 63 550.67 P
X1.2 (cessing and special ef) 54 540.67 P
X1.2 (fects. An ef) 135.54 540.67 P
X1.2 (fective new approach is to use) 179.45 540.67 P
X1.04 (linear and curvilinear \336ltering techniques to locally blur textures) 54 530.67 P
X0.26 (along a vector \336eld. This approach builds on several previous tex-) 54 520.67 P
X0.25 (ture generation and \336ltering techniques[8, 9, 1) 54 510.67 P
X0.25 (1, 14, 15, 17, 23]. It) 221.38 510.67 P
X0.41 (is, however) 54 500.67 P
X0.41 (, unique because it is local, one-dimensional and inde-) 95.49 500.67 P
X1.04 (pendent of any prede\336ned geometry or texture. The technique is) 54 490.67 P
X1.42 (general and capable of imaging arbitrary two- and three-dimen-) 54 480.67 P
X0.37 (sional vector \336elds. The local one-dimensional nature of the algo-) 54 470.67 P
X0.53 (rithm lends itself to highly parallel and ef) 54 460.67 P
X0.53 (\336cient implementations.) 206.59 460.67 P
X0.15 (Furthermore, the curvilinear \336lter is capable of rendering detail on) 54 450.67 P
X1.2 (very intricate vector \336elds. Combining this technique with other) 54 440.67 P
X-0.2 (rendering and image processing techniques \321 like periodic motion) 54 430.67 P
X0.76 (\336ltering \321 results in richly informative and striking images. The) 54 420.67 P
X(technique can also produce novel special ef) 54 410.67 T
X(fects.) 210.08 410.67 T
X2 F
X3.8 (CR categories and subject descriptors:) 63 400.62 P
X1 F
X3.8 ( I.3.3 [Computer) 226.48 400.62 P
X1.33 (Graphics]: Picture/Image generation; I.3.7 [Computer Graphics]:) 54 390.62 P
X1.15 (Three-Dimensional Graphics and Realism; I.4.3 [Image Process-) 54 380.62 P
X(ing]: Enhancement.) 54 370.62 T
X1.12 (Keywords: convolution, \336ltering, rendering, visualization, tex-) 63 360.57 P
X-0.19 (ture synthesis, \337ow \336elds, special ef) 54 350.57 P
X-0.19 (fects, periodic motion \336ltering.) 182.97 350.57 P
X0 F
X(1.  INTRODUCTION) 54 333.52 T
X1 F
X-0.02 (Upon \336rst inspection, imaging vector \336elds appears to have lim-) 63 323.48 P
X1.4 (ited application \321 con\336ned primarily to scienti\336c visualization.) 54 313.48 P
X1.52 (However) 54 303.48 P
X1.52 (, much of the form and shape in our environment is a) 86.58 303.48 P
X0.88 (function of not only image intensity and color) 54 293.48 P
X0.88 (, but also of direc-) 224.83 293.48 P
X1.98 (tional information such as edges. Painters, sculptors, photogra-) 54 283.48 P
X0.28 (phers, image processors[16] and computer graphics researchers[9]) 54 273.48 P
X2.23 (have recognized the importance of direction in the process of) 54 263.48 P
X0.9 (image creation and form. Hence, algorithms that can image such) 54 253.48 P
X1.3 (directional information have wide application across both scien-) 54 243.48 P
X(ti\336c and artistic domains.) 54 233.48 T
X2.66 (Such algorithms should possess a number of desirable and) 63 223.43 P
X1.53 (sometimes con\337icting properties including: accuracy) 54 213.43 P
X1.53 (, locality of) 249.75 213.43 P
X0.21 (calculation, simplicity) 54 203.43 P
X0.21 (, controllability and generality) 133.52 203.43 P
X0.21 (. Line Integral) 242.41 203.43 P
X-0.16 (Convolution \050LIC\051 is a new technique that possesses many of these) 54 193.43 P
X1.98 (properties. Its generality allows for the introduction of a com-) 54 183.43 P
X1.95 (pletely new family of periodic motion \336lters which have wide) 317.29 561.43 P
X1.07 (application \050see section 4.1\051. It represents a con\337uence of signal) 317.29 551.43 P
X0.01 (and image processing and a variety of previous work done in com-) 317.29 541.43 P
X(puter graphics and scienti\336c visualization.) 317.29 531.43 T
X0 F
X(2.  BACKGROUND) 317.29 513.08 T
X1 F
X0.18 (There are currently few techniques which image vector \336elds in) 326.29 501.73 P
X-0.02 (a general manner) 317.29 491.73 P
X-0.02 (. These techniques can be quite ef) 378.64 491.73 P
X-0.02 (fective for visu-) 499.92 491.73 P
X0.33 (alizing vector data. However) 317.29 481.73 P
X0.33 (, they break down when operating on) 421.75 481.73 P
X1.26 (very dense \336elds and do not generalize to other applications. In) 317.29 471.73 P
X0.96 (particular) 317.29 461.73 P
X0.96 (, lar) 351.37 461.73 P
X0.96 (ge vector \336elds \050512x512 or greater\051 strain existing) 366.14 461.73 P
X(algorithms.) 317.29 451.73 T
X1.65 (Most vector visualization algorithms use spatial resolution to) 326.29 440.39 P
X-0.11 (represent the vector \336eld. These include sampling the \336eld, such as) 317.29 430.39 P
X1.93 (with stream lines[12] or particle traces, and using icons[19] at) 317.29 420.39 P
X2.01 (every vector \336eld coordinate. Stream lines and particle tracing) 317.29 410.39 P
X-0.21 (techniques depend critically on the placement of the \322streamers\323 or) 317.29 400.39 P
X0.4 (the particle sources. Depending on their placement, eddies or cur-) 317.29 390.39 P
X0.57 (rents in the data \336eld can be missed. Icons, on the other hand, do) 317.29 380.39 P
X0.49 (not miss data, but use up a considerable amount of spatial resolu-) 317.29 370.39 P
X(tion limiting their usefulness to small vector \336elds.) 317.29 360.39 T
X1.4 (Another general approach is to generate textures via a vector) 326.29 349.04 P
X1.29 (\336eld. V) 317.29 339.04 P
X1.29 (an W) 344.55 339.04 P
X1.29 (ijk\325) 364.69 339.04 P
X1.29 (s) 376.68 339.04 P
X3 F
X1.29 (spot noise) 383.72 339.04 P
X1 F
X1.29 ( algorithm[23] uses a vector \336eld to) 421.22 339.04 P
X0.7 (control the generation of bandlimited noise. The time complexity) 317.29 329.04 P
X1.01 (of the two types of implementation techniques presented by V) 317.29 319.04 P
X1.01 (an) 548.8 319.04 P
X0.31 (W) 317.29 309.04 P
X0.31 (ijk are relatively high. Furthermore the technique, by de\336nition,) 325.41 309.04 P
X0.17 (depends heavily on the form of the texture \050spot noise\051 itself. Spe-) 317.29 299.04 P
X-0.19 (ci\336cally) 317.29 289.04 P
X-0.19 (, it does not easily generalize to other forms of textures that) 345.66 289.04 P
X0.57 (might be better suited to a particular class of vector data \050such as) 317.29 279.04 P
X(\337uid \337ow versus electromagnetic\051.) 317.29 269.04 T
X1.5 (Reaction dif) 326.29 257.69 P
X1.5 (fusion techniques[20, 24] also provide an avenue) 371.81 257.69 P
X0.19 (for visualizing vector \336elds since the controlling dif) 317.29 247.69 P
X0.19 (ferential equa-) 504.94 247.69 P
X0.94 (tions are inherently vector in nature. It is possible to map vector) 317.29 237.69 P
X1.6 (data onto these dif) 317.29 227.69 P
X1.6 (ferential equations to come up with a vector) 388.08 227.69 P
X0.28 (visualization technique. Here too however) 317.29 217.69 P
X0.28 (, the time complexity of) 470.05 217.69 P
X(these algorithms limit their general usefulness.) 317.29 207.69 T
X2.59 (Three-dimensional vector \336elds can be visualized by three-) 326.29 196.35 P
X3.01 (dimensional texture generation techniques such as texels and) 317.29 186.35 P
X0.16 (hypertextures described in [1) 317.29 176.35 P
X0.16 (1, 15]. Both techniques take a texture) 422.02 176.35 P
X-0.16 (on a geometrically de\336ned surface and project the texture out some) 317.29 166.35 P
X-0.18 (distance from the surface. By de\336nition these techniques are bound) 317.29 156.35 P
X-0.12 (to the surface and do not compute an image for the entire \336eld as is) 317.29 146.35 P
X0.75 (done by V) 317.29 136.35 P
X0.75 (an W) 355.22 136.35 P
X0.75 (ijk[23]. This is limiting in that it requires a priori) 374.82 136.35 P
X0.99 (knowledge to place the surface. Like particle streams and vector) 317.29 126.35 P
X1.56 (streamers these visualization techniques are critically dependent) 317.29 116.35 P
X(on the placement of the sampling surface.) 317.29 106.35 T
X-0.05 (The technique presented by Haeberli[9] for algorithmicly gener-) 326.29 95 P
X0.31 (ating \322paintings\323 via vector) 317.29 85 P
X0.31 (-like brush strokes can also be thought) 417.13 85 P
X3.7 (of as a vector visualization technique. Craw\336s and Max[5]) 317.29 75 P
X54 576 558 738 R
X7 X
XV
X0 18 Q
X0 X
X(Imaging V) 74.57 726 T
X(ector Fields Using Line Integral Convolution) 159.56 726 T
X3 12 Q
X(Brian Cabral) 273.85 690 T
X(Leith \050Casey\051 Leedom*) 250.04 673 T
X1 F
X(Lawrence Livermore National Laboratory) 205.26 639 T
X54 139.03 293.98 175.03 R
X7 X
XV
X54 160.03 293.98 175.03 C
X63 173.03 207 173.03 2 L
X0.5 H
X2 Z
X0 X
X0 K
XN
X0 0 612 792 C
X1 8 Q
X0 X
X0 K
X(* Authors\325 current e-mail addresses are:) 54 154.7 T
X3 F
X([e-mail]) 184.11 154.7 T
X1 F
X( and) 236.56 154.7 T
X3 F
X([e-mail]) 60 145.7 T
X1 F
X(.) 129.02 145.7 T
X54 72 293.98 126 C
X54 72 293.98 126 R
X7 X
X0 K
XV
X0 0 612 792 C
XFMENDPAGE
X%%EndPage: "1" 2
X%%Page: "2" 2
X612 792 0 FMBEGINPAGE
X1 9 Q
X0 X
X0 K
X-0.13 (describe a three-dimensional variation on this in which blurred cyl-) 54 732 P
X0.6 (inders represent three-dimensional brush strokes whose directions) 54 722 P
X0.23 (and colors are controlled by a three-dimensional vector \336eld. Both) 54 712 P
X2.33 (techniques represent a conceptual extension of traditional icon) 54 702 P
X1.07 (placement, where the icons are more sophisticated shapes. How-) 54 692 P
X2.52 (ever) 54 682 P
X2.52 (, these techniques break down as the density of the \336eld) 69.11 682 P
X(increases since they require spatial resolution to work.) 54 672 T
X-0.13 (What is needed is a technique that can image dense vector \336elds,) 63 661.02 P
X0.69 (is independent of both prede\336ned sampling placement constraints) 54 651.02 P
X0.86 (and texture generation techniques and can work in two and three) 54 641.02 P
X1.9 (dimensions. Such a technique would be very general and have) 54 631.02 P
X(wide application.) 54 621.02 T
X0 F
X(3.  DDA CONVOLUTION) 54 603.05 T
X1 F
X0.48 (One approach is a generalization of traditional DDA line draw-) 63 592.07 P
X0.19 (ing techniques[1] and the spatial convolution algorithms described) 54 582.07 P
X0.81 (by V) 54 572.07 P
X0.81 (an W) 71.53 572.07 P
X0.81 (ijk[23] and Perlin[14]. Each vector in a \336eld is used to) 91.19 572.07 P
X-0.03 (de\336ne a long, narrow) 54 562.07 P
X-0.03 (, DDA generated \336lter kernel tangential to the) 129.7 562.07 P
X-0.09 (vector and going in the positive and negative vector direction some) 54 552.07 P
X1.41 (\336xed distance,) 54 542.07 P
X3 F
X1.41 (L) 110.98 542.07 P
X1 F
X1.41 (. A texture is then mapped one-to-one onto the) 115.98 542.07 P
X1.68 (vector \336eld. The input texture pixels under the \336lter kernel are) 54 532.07 P
X1.78 (summed, normalized by the length of the \336lter kernel,) 54 522.07 P
X3 F
X1.78 (2L) 265.97 522.07 P
X1 F
X1.78 (, and) 275.46 522.07 P
X0.8 (placed in an output pixel image for the vector position. Figure 1,) 54 512.07 P
X(illustrates this operation for a single vector in a \336eld.) 54 502.07 T
X-0.03 (This ef) 63 491.1 P
X-0.03 (fectively \336lters the underlying texture as a function of the) 88.02 491.1 P
X1.01 (vector \336eld. The images in \336gure 2 are rendered using the DDA) 54 481.1 P
X0.18 (convolution algorithm. On the left is a simple circular vector \336eld;) 54 471.1 P
X-0.22 (to its right is the result of a computational \337uid dynamics code. The) 54 461.1 P
X0.13 (input texture image in these examples is white noise. Although the) 54 451.1 P
X0.02 (description above implies a box \336lter) 54 441.1 P
X0.02 (, any arbitrary \336lter shape can) 187.29 441.1 P
X0.03 (be used for the \336lter convolution kernel. It is important to note that) 54 431.1 P
X0.11 (this algorithm is very sensitive to symmetry of the DDA algorithm) 54 421.1 P
X0.13 (and \336lter) 54 411.1 P
X0.13 (. If the algorithm weights the forward direction more than) 85.84 411.1 P
X0.1 (the backward direction, the circular \336eld in \336gure 2 appears to spi-) 54 401.1 P
X1.03 (ral inward implying a vortical behavior that is not present in the) 54 391.1 P
X(vector \336eld.) 54 381.1 T
X0 F
X(3.1  LOCAL FIELD BEHA) 54 363.12 T
X(VIOR) 158.2 363.12 T
X1 F
X0.81 (The DDA approach, while ef) 63 352.14 P
X0.81 (\336cient, is inherently inaccurate. It) 170.66 352.14 P
X2.46 (assumes that the local vector \336eld can be approximated by a) 54 342.14 P
X0.85 (straight line. For points in vector \336elds where the local radius of) 317.29 587 P
X0.54 (curvature is lar) 317.29 577 P
X0.54 (ge, this assumption is valid. However) 372.12 577 P
X0.54 (, where there) 509.53 577 P
X-0.15 (are complex structures smaller than the length of the DDA line, the) 317.29 567 P
X-0.14 (local radius of curvature is small and is not well approximated by a) 317.29 557 P
X0.34 (straight line. In a sense, DDA convolution renders the vector \336eld) 317.29 547 P
X1.44 (unevenly) 317.29 537 P
X1.44 (, treating linear portions of the vector \336eld more accu-) 349.65 537 P
X1.39 (rately than small scale vortices. While this graceful degradation) 317.29 527 P
X0.46 (may be \336ne or even desirable for special ef) 317.29 517 P
X0.46 (fects applications, it is) 475.53 517 P
X0.34 (problematic for visualizing vector \336elds such as the ones in \336gure) 317.29 507 P
X(2, since detail in the small scale structures is lost.) 317.29 497 T
X0.07 (V) 326.29 485.88 P
X0.07 (an W) 331.78 485.88 P
X0.07 (ijk\325) 350.7 485.88 P
X0.07 (s spot noise algorithm[23] also suf) 362.69 485.88 P
X0.07 (fers from this prob-) 486.94 485.88 P
X1.51 (lem since the spots are elliptically stretched along a line in the) 317.29 475.88 P
X1.26 (direction of the local \336eld. If the ellipse major axis exceeds the) 317.29 465.88 P
X1.17 (local length scale of the vector \336eld, the spot noise will inaccu-) 317.29 455.88 P
X0.07 (rately represent the vector \336eld. An accurate measure of local \336eld) 317.29 445.88 P
X1.01 (behavior would require a global analysis of the \336eld. Such tech-) 317.29 435.88 P
X-0.14 (niques currently do not exist for arbitrary vector \336elds, would most) 317.29 425.88 P
X2.24 (likely be expensive to calculate[13] and are an area of active) 317.29 415.88 P
X(research[7].) 317.29 405.88 T
X0 F
X(4.  LINE INTEGRAL CONVOLUTION) 317.29 387.76 T
X1 F
X0.94 (The local behavior of the vector \336eld can be approximated by) 326.29 376.63 P
X-0.01 (computing a local stream line that starts at the center of pixel \050) 317.29 366.63 P
X3 F
X-0.01 (x) 541.83 366.63 P
X1 F
X-0.01 (,) 545.82 366.63 P
X3 F
X-0.01 (y) 550.3 366.63 P
X1 F
X-0.01 (\051) 554.29 366.63 P
X1.11 (and moves out in the positive and negative directions.) 317.29 356.63 P
X1 7 Q
X0.86 (1) 519.63 360.23 P
X1 9 Q
X1.11 ( The for-) 523.12 356.63 P
X(ward coordinate advection is given by equation \0501\051.) 317.29 346.63 T
X317.29 126 557.29 141 C
X326.29 139 470.29 139 2 L
X0.5 H
X2 Z
X0 X
X0 K
XN
X0 0 612 792 C
X1 6 Q
X0 X
X0 K
X0.32 (1.) 317.29 123.87 P
X1 8 Q
X0.43 (V) 323.61 120.67 P
X0.43 (ector \336eld lattice and image coordinates are usually speci\336ed in a left-) 328.49 120.67 P
X-0.1 (handed coordinate system while vector components are usually speci\336ed in) 317.29 111.67 P
X0.28 (a right-handed coordinate system. In this case, the) 317.29 102.67 P
X3 F
X0.28 (y) 481.62 102.67 P
X1 F
X0.28 (-component of the lat-) 485.17 102.67 P
X-0.06 (tice coordinate in equation \0501\051 must be re\337ected about the vertical center of) 317.29 93.67 P
X0.38 (the lattice to operate in a consistent coordinate system. This re\337ection has) 317.29 84.67 P
X(been omitted to preserve simplicity of presentation.) 317.29 75.67 T
X317.29 72 557.29 593 C
X317.3 141 557.27 343.63 C
X3 9 Q
X0 X
X0 K
X(P) 347.44 331.08 T
X1 7 Q
X(0) 353.28 327.96 T
X3 9 Q
X(x) 376.1 331.08 T
X1 F
X(0) 389.52 331.08 T
X(.) 394.01 331.08 T
X(5) 396.26 331.08 T
X3 F
X(y) 405.25 331.08 T
X1 F
X(0) 418.68 331.08 T
X(.) 423.17 331.08 T
X(5) 425.42 331.08 T
X4 F
X(+) 411.49 331.08 T
X(,) 400.76 331.08 T
X(+) 382.34 331.08 T
X(\050) 372.21 331.08 T
X(\051) 430.3 331.08 T
X(=) 361.28 331.08 T
X3 F
X(P) 347.6 300.72 T
X3 7 Q
X(i) 353.44 297.59 T
X3 9 Q
X(P) 369.32 300.72 T
X3 7 Q
X(i) 375.15 297.59 T
X1 F
X(1) 384.43 297.59 T
X4 F
X(-) 378.85 297.59 T
X3 9 Q
X(V) 404.11 309.31 T
X(P) 421.52 309.31 T
X3 7 Q
X(i) 427.36 306.18 T
X1 F
X(1) 436.64 306.18 T
X4 F
X(-) 431.05 306.18 T
X4 9 Q
X(\050) 411.63 309.31 T
X(\051) 446.52 309.31 T
X3 F
X(V) 404.11 294.52 T
X(P) 421.52 294.52 T
X3 7 Q
X(i) 427.36 291.39 T
X1 F
X(1) 436.64 291.39 T
X4 F
X(-) 431.05 291.39 T
X4 9 Q
X(\050) 411.63 294.52 T
X(\051) 446.52 294.52 T
X(D) 458.3 300.72 T
X3 F
X(s) 464.33 300.72 T
X3 7 Q
X(i) 468.17 297.59 T
X1 F
X(1) 477.45 297.59 T
X4 F
X(-) 471.86 297.59 T
X4 9 Q
X(+) 390.18 300.72 T
X(=) 359.88 300.72 T
X416.52 305.67 416.52 315.46 2 L
X0.33 H
X0 Z
XN
X416.52 305.67 419.52 305.67 2 L
XN
X444.13 305.67 444.13 315.46 2 L
XN
X444.13 305.67 441.13 305.67 2 L
XN
X416.52 290.87 416.52 300.67 2 L
XN
X416.52 290.87 419.52 290.87 2 L
XN
X444.13 290.87 444.13 300.67 2 L
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X444.13 290.87 441.13 290.87 2 L
XN
X399.11 290.87 399.11 300.67 2 L
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X401.11 290.87 401.11 300.67 2 L
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X455.02 290.87 455.02 300.67 2 L
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X453.02 290.87 453.02 300.67 2 L
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X398.11 302.67 456.77 302.67 2 L
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X(V) 346.85 270.2 T
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X(\050) 354.37 270.2 T
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X(e) 411.58 270.2 T
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X(t) 419.56 270.2 T
X(o) 422.06 270.2 T
X(r) 426.55 270.2 T
X(f) 431.07 270.2 T
X(r) 434.07 270.2 T
X(o) 437.06 270.2 T
X(m) 441.55 270.2 T
X(t) 450.07 270.2 T
X(h) 452.57 270.2 T
X(e) 457.07 270.2 T
X(i) 462.58 270.2 T
X(n) 465.08 270.2 T
X(p) 469.58 270.2 T
X(u) 474.07 270.2 T
X(t) 478.57 270.2 T
X(v) 482.59 270.2 T
X(e) 487.09 270.2 T
X(c) 491.08 270.2 T
X(t) 495.07 270.2 T
X(o) 497.57 270.2 T
X(r) 502.06 270.2 T
X4 F
X(=) 385.14 270.2 T
X359.26 269.35 359.26 276.35 2 L
XN
X359.26 269.35 362.26 269.35 2 L
XN
X373.75 269.35 373.75 276.35 2 L
XN
X373.75 269.35 370.75 269.35 2 L
XN
X1 F
X(f) 395.94 259.9 T
X(i) 398.93 259.9 T
X(e) 401.43 259.9 T
X(l) 405.42 259.9 T
X(d) 407.92 259.9 T
X(a) 413.94 259.9 T
X(t) 417.93 259.9 T
X(l) 421.96 259.9 T
X(a) 424.46 259.9 T
X(t) 428.45 259.9 T
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echo shar: End of archive 5 \(of 10\).
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for I in 1 2 3 4 5 6 7 8 9 10 ; do
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exit 0
exit 0 # Just in case...