Paper Info
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.
Year
DOI
Venue
2009
10.1007/978-3-642-01811-4_31
MIRAGE
Keywords
Field
DocType
experimental analysis,monocular vision,motion capture,real time
Monocular vision,Computer vision,Motion capture,Residual,Pattern recognition,Computer science,Human motion,Artificial intelligence,Computation
Conference
Citations 
PageRank 
References 
5
0.42
16
Authors
2
Name
Order
Citations
PageRank
David Antonio Gómez Jáuregui1495.52
Patrick Horain2485.75