DocumentCode
2863216
Title
Geometric-imprints: a significant points extraction method for the Scan&Track virtual environment
Author
Semwal, Sudhanshu K. ; Ohya, Jun
Author_Institution
ATR Media Integration & Commun. Res. Labs., Kyoto, Japan
fYear
1998
fDate
14-16 Apr 1998
Firstpage
480
Lastpage
485
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
Keywords
computational geometry; feature extraction; user interfaces; virtual reality; Scan&Track; articulated human; contours; correspondence problem; curves; cylindrical body parts; feature extraction; geometric imprints; human silhouettes; recursive partitioning; significant point extraction method; virtual environment; Data mining; Humans; Image analysis; Image motion analysis; Information analysis; Magnetic analysis; Magnetic sensors; Motion analysis; Springs; Virtual environment;
fLanguage
English
Publisher
ieee
Conference_Titel
Automatic Face and Gesture Recognition, 1998. Proceedings. Third IEEE International Conference on
Conference_Location
Nara
Print_ISBN
0-8186-8344-9
Type
conf
DOI
10.1109/AFGR.1998.670994
Filename
670994
Link To Document