by Rosenhahn, B, He, L and Klette, R
Abstract:
The contribution presents an integrated system for automatic acquisition of a human torso model, using different input images. The output model consists of two free-form surface patches (with texture maps) for the torso and the arms. Also, the positions for the neck joint on the torso, and six joint positions on the arms (for the wrist, elbow and shoulder) are determined automatically. We present reconstruction results, and, as application, a simple tracking system for arm movements. © Springer-Verlag Berlin Heidelberg 2005.
Reference:
Automatic human model generation (Rosenhahn, B, He, L and Klette, R), In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 3691 LNCS, 2005.
Bibtex Entry:
@inproceedings{rosenhahn2005automaticgeneration,
author = "Rosenhahn, B and He, L and Klette, R",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "41--48",
title = "Automatic human model generation",
volume = "3691 LNCS",
year = "2005",
abstract = "The contribution presents an integrated system for automatic acquisition of a human torso model, using different input images. The output model consists of two free-form surface patches (with texture maps) for the torso and the arms. Also, the positions for the neck joint on the torso, and six joint positions on the arms (for the wrist, elbow and shoulder) are determined automatically. We present reconstruction results, and, as application, a simple tracking system for arm movements. © Springer-Verlag Berlin Heidelberg 2005.",
doi = "10.1007/11556121_6",
isbn = "3540289690",
isbn = "9783540289692",
issn = "0302-9743",
eissn = "1611-3349",
language = "eng",
}