GR'95: Dashed-Line Detection Contest

[atul@nynexst.com (Atul Chhabra)]

In order to encourage participation in the International Workshop on Graphics
Recognition, a dashed-line detection contest is being organized. Details of
the contest and the evaluation process are given below.


                International Workshop on Graphics Recognition
                      The Pennsylvania State University
                       University Park, PA 16802, USA
                             August 10-11, 1995

                        Dashed-Line Detection Contest


Details of the Contest
======================

    The test images and source code are available on the anonymous ftp site
       "ftp.cse.psu.edu" (130.203.2.11). 

    The path is : pub/vision/dashed_lines/(src, images)

    The images directory contains samples of simple, medium and complex
       dashed-line images in TIFF 5.0 format. The khoros routines "raw2viff"
       and "viff2tiff" have been used to convert raw images into TIFF images. 

    The src directory contains all the source files for the creation of these
       images. Any updates on the src files will be posted.

    The README file in the ftp site directory contains information about the 
       dashed-line parameters (segment length, gap length etc.), image sizes, 
       complexities, etc.

    Contestants will have to ftp their software onto Sun SPARC class of
       machines which will be provided. They will have to run a live
       demonstration of their program on the TIFF images which will be
       generated randomly at the time of the contest. Those who do not have
       access to the ftp site should contact the concerned persons at email
       addresses given below for information on alternate ways of obtaining
       the images or src code.

    Prizes will be awarded to winning entries at the workshop.


Evaluation
==========

    Programs will be judged on the basis of the following performance metrics :

    Ability to 
        - detect all the dashed-lines.
        - accurately determine the pixel locations of the dashed-lines
          like start point, end point.
        - track each dashed-line correctly.
        - determine accurately the segment lengths, gap lengths and thickness.
        - determine the different kinds of dashed-lines in an image (in case 
          of the medium and complex images).
        - identify the objects formed by dashed-lines (dashed rectangular
          boxes, dashed triangular shapes, dashed-hatching lines, etc.) (again
          in case of the medium and complex images).
        - segment the text strings and continuous lines from the dashed-lines
          (in case of complex images).
        - track the dashed curves accurately (again in case of complex images).

    NOTE : The exact evaluation methods are not yet complete and will be 
           posted as soon as they are ready.

* For further correspondence contact Prof. Rangachar Kasturi at 
  kasturi@cse.psu.edu or Arathi Prasad at prasad@cse.psu.edu

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