Distance transformations in digital images
Computer Vision, Graphics, and Image Processing
Fast Algorithms for Low-Level Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model-based Integration of Visual Cues for Hand Tracking
MOTION '02 Proceedings of the Workshop on Motion and Video Computing
3D Model Based Gesture Acquisition Using a Single Camera
WACV '02 Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision
Recovering 3D Human Pose from Monocular Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recovering 3D Human Body Configurations Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
3D People Tracking with Gaussian Process Dynamical Models
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Vision-based human motion analysis: An overview
Computer Vision and Image Understanding
Opengl® superbible: comprehensive tutorial and reference, fourth edition
Opengl® superbible: comprehensive tutorial and reference, fourth edition
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Digital distance functions on three-dimensional grids
Theoretical Computer Science
Statistical gesture models for 3d motion capture from a library of gestures with variants
GW'09 Proceedings of the 8th international conference on Gesture in Embodied Communication and Human-Computer Interaction
Real-time 3d motion capture by monocular vision and virtual rendering
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
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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.