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

Sudhanshu K. Semwal; Jun Ohya

doi:10.1109/AFGR.1998.670994

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 proceeding › Conference 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 language	English
Title of host publication	Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998
Publisher	IEEE Computer Society
Pages	480-485
Number of pages	6
ISBN (Print)	0818683449, 9780818683442
DOIs	https://doi.org/10.1109/AFGR.1998.670994
Publication status	Published - 1998
Externally published	Yes
Event	3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998 - Nara, Japan Duration: 1998 Apr 14 → 1998 Apr 16

Publication series

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

Conference

Conference	3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998
Country/Territory	Japan
City	Nara
Period	98/4/14 → 98/4/16

Keywords

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

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Access to Document

10.1109/AFGR.1998.670994

Cite this

Semwal, S. K., & Ohya, J. (1998). Geometric-imprints: A significant points extraction method for the Scan&Track virtual environment. In Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998 (pp. 480-485). [670994] (Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998). IEEE Computer Society. https://doi.org/10.1109/AFGR.1998.670994

Geometric-imprints : A significant points extraction method for the Scan&Track virtual environment. / Semwal, Sudhanshu K.; Ohya, Jun.

Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998. IEEE Computer Society, 1998. p. 480-485 670994 (Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Semwal, SK & Ohya, J 1998, Geometric-imprints: A significant points extraction method for the Scan&Track virtual environment. in Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998., 670994, Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998, IEEE Computer Society, pp. 480-485, 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998, Nara, Japan, 98/4/14. https://doi.org/10.1109/AFGR.1998.670994

Semwal SK, Ohya J. Geometric-imprints: A significant points extraction method for the Scan&Track virtual environment. In Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998. IEEE Computer Society. 1998. p. 480-485. 670994. (Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998). doi: 10.1109/AFGR.1998.670994

Semwal, Sudhanshu K. ; Ohya, Jun. / Geometric-imprints : A significant points extraction method for the Scan&Track virtual environment. Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998. IEEE Computer Society, 1998. pp. 480-485 (Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998).

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

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.",

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AB - 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.

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KW - Tracking of articulated objects

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

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this