@inproceedings{8789f6bbdf524c01886334371a0a00d6,
title = "On the improvement of anthropometry and pose estimation from a single uncalibrated image",
abstract = "We developed a technique that allows semiautomatic estimation of anthropometry and pose from a single image. However, estimation was limited to a class of images for which an adequate number of human body segments were almost parallel to the image plane. We present a generalization of that estimation algorithm that exploits pairwise geometric relationships of body segments to allow estimation from a broader class of images. In addition, we refine our search space by constructing a fully populated discrete hyper-ellipsoid of stick human body models (SMs) in order to capture the variance of the statistical anthropometric information. As a result, a better initial estimate can be computed by our algorithm and thus the number of iterations needed during minimization are reduced by tenfold. We present our results over a variety of images to demonstrate the broad coverage of our algorithm.",
author = "C. Barron and Kakadiaris, \{I. A.\}",
note = "Publisher Copyright: {\textcopyright} 2000 IEEE.; Workshop on Human Motion, HUMO 2000 ; Conference date: 07-12-2000 Through 08-12-2000",
year = "2000",
doi = "10.1109/HUMO.2000.897371",
language = "English (US)",
series = "Proceedings - Workshop on Human Motion, HUMO 2000",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "53--60",
booktitle = "Proceedings - Workshop on Human Motion, HUMO 2000",
address = "United States",
}