Geometric-imprints: A significant points extraction method for the Scan&Track virtual environment

Sudhanshu K. Semwal, Jun Ohya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

We have implemented a new algorithm, called the geometric imprints method for extracting key features of a given contour. A series of points on the curve are used to find a geometric imprint set of the contour. The algorithm is based upon the assumption that an articulated human and other figures have mostly cylindrical body parts. The algorithm recursively partitions the contour based upon the cylindrical nature of human silhouettes, and a starting point. Similar topological contours are expected to produce similar geometric imprints. Thus the correspondence problem is somewhat simplified. Results of our implementation are presented.

Original languageEnglish
Title of host publicationProceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998
PublisherIEEE Computer Society
Pages480-485
Number of pages6
ISBN (Print)0818683449, 9780818683442
DOIs
Publication statusPublished - 1998 Jan 1
Externally publishedYes
Event3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998 - Nara, Japan
Duration: 1998 Apr 141998 Apr 16

Publication series

NameProceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998

Conference

Conference3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998
CountryJapan
CityNara
Period98/4/1498/4/16

Keywords

  • 2D contours
  • Cylindrical Body Shapes
  • Geometric Feature Identification
  • Tracking of articulated objects

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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