by Austin, N, Chen, Y, Klette, R, Marshall, R, Tsai, Y-S and Zhang, Y
Abstract:
The paper reports about a performance comparison within a joint project of computer vision, and sport and exercise sciences. The project is directed on the understanding of human motion based on shape features and kinetic studies. Three shape recovery techniques, a traditional technique as used in sport and exercise sciences (manual measurement based on an elliptical zone assumption) and two computer vision techniques (based on a small number of occluding contours, and a new combination of photometric stereo and shape from boundaries), are compared using a mannequin as test object. The computer vision techniques have been designed to go towards dynamic shape recovery (humans in motion). The paper reports about these three techniques and their measurement accuracies.
Reference:
A comparison of feature measurements for kinetic studies on human bodies (Austin, N, Chen, Y, Klette, R, Marshall, R, Tsai, Y-S and Zhang, Y), In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Verlag, volume 1998, 2001.
Bibtex Entry:
@inproceedings{austin2001abodies,
author = "Austin, N and Chen, Y and Klette, R and Marshall, R and Tsai, Y-S and Zhang, Y",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "43--51",
publisher = "Springer Verlag",
title = "A comparison of feature measurements for kinetic studies on human bodies",
volume = "1998",
year = "2001",
abstract = "The paper reports about a performance comparison within a joint project of computer vision, and sport and exercise sciences. The project is directed on the understanding of human motion based on shape features and kinetic studies. Three shape recovery techniques, a traditional technique as used in sport and exercise sciences (manual measurement based on an elliptical zone assumption) and two computer vision techniques (based on a small number of occluding contours, and a new combination of photometric stereo and shape from boundaries), are compared using a mannequin as test object. The computer vision techniques have been designed to go towards dynamic shape recovery (humans in motion). The paper reports about these three techniques and their measurement accuracies.",
isbn = "3540416943",
issn = "0302-9743",
eissn = "1611-3349",
language = "eng",
}