@inproceedings{1ddc05b8c36c4f328c4352db2b090037,
title = "Region-based vs. edge-based registration for 3d motion capture by real time monoscopic vision",
abstract = "3D human motion capture by real-time monocular vision without using markers can be achieved by registering a 3D articulated model on a video. Registration consists in iteratively optimizing the match between primitives extracted from the model and the images with respect to the model position and joint angles. We extend a previous color-based registration algorithm with a more precise edge-based registration step. We present an experimental analysis of the residual error vs. the computation time and we discuss the balance between both approaches.",
keywords = "3D motion capture, 3D/2D registration, Edges matching, Monocular vision, Region matching",
author = "J{\'a}uregui, \{David Antonio G{\'o}mez\} and Patrick Horain",
year = "2009",
month = jul,
day = "16",
doi = "10.1007/978-3-642-01811-4\_31",
language = "English",
isbn = "9783642018107",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "344--355",
booktitle = "Computer Vision/Computer Graphics Collaboration Techniques - 4th International Conference, MIRAGE 2009, Proceedings",
note = "4th International Conference on Computer Vision/Computer Graphics Collaboration Techniques, MIRAGE 2009 ; Conference date: 04-05-2009 Through 06-05-2009",
}