A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Free form deformation with scattered data interpolation methods
Geometric modelling
How Far 3D Shapes Can Be Understood from 2D Silhouettes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model-based object pose in 25 lines of code
International Journal of Computer Vision - Special issue: image understanding research at the University of Maryland
Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
Three-Dimensional Human Body Model Acquisition from Multiple Views
International Journal of Computer Vision
A survey of computer vision-based human motion capture
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
Implicit Probabilistic Models of Human Motion for Synthesis and Tracking
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
3D Part Recognition Method for Human Motion Analysis
CAPTECH '98 Proceedings of the International Workshop on Modelling and Motion Capture Techniques for Virtual Environments
Local and Global Skeleton Fitting Techniques for Optical Motion Capture
CAPTECH '98 Proceedings of the International Workshop on Modelling and Motion Capture Techniques for Virtual Environments
3-D model-based tracking of humans in action: a multi-view approach
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Monocular tracking of the human arm in 3D
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Free-viewpoint video of human actors
ACM SIGGRAPH 2003 Papers
3-D reconstruction of static human body shape from image sequence
Computer Vision and Image Understanding
Marker-free kinematic skeleton estimation from sequences of volume data
Proceedings of the ACM symposium on Virtual reality software and technology
A Model-Based Approach for Human Body Reconstruction from 3D Scanned Data
MIRAGE '09 Proceedings of the 4th International Conference on Computer Vision/Computer Graphics CollaborationTechniques
Towards the automatic generation of 3D photo-realistic avatars using 3D scanned data
MIRAGE'11 Proceedings of the 5th international conference on Computer vision/computer graphics collaboration techniques
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In order to achieve precise, accurate and reliable tracking of human movement, a 3D human model that is very similar to the subject is essential. In this paper, we present a new system to (1) precisely construct the surface shape of the whole human body, and (2) estimate the underlying skeleton. In this work we make use of a set of images of the subject in collaboration with a generic anthropometrical 3D model made up of regular surfaces and skeletons to adapt to the specific subject. We developed a three-stage technique that uses the human shape feature points and limb outlines that work together with the generic 3D model to yield our final customized 3D model. The first stage is an iterative camera pose calibration and 3D characteristic point reconstruction-deformation algorithm that gives us an initial customized 3D model. The second stage refines the initial customized 3D model by deformation via the silhouette limbs information, thus obtaining the surface skin model. In the final stage, we make use of the results of skin deformation to estimate the underlying skeleton. From our final results, we demonstrate that our system is able to construct quality human model, where the skeleton is constructed and positioned automatically.