A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Free form deformation with scattered data interpolation methods
Geometric modelling
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
3D Scanning in Apparel Design and Human Engineering
IEEE Computer Graphics and Applications
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
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)
Free-viewpoint video of human actors
ACM SIGGRAPH 2003 Papers
Radial Basis Functions
3-D reconstruction of static human body shape from image sequence
Computer Vision and Image Understanding
Geometric skinning with approximate dual quaternion blending
ACM Transactions on Graphics (TOG)
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A method for 3D human body modeling from a set of 2D images is proposed. This method is based upon the deformation of a predefined generic polygonal human mesh towards a specific one which should be very similar with the subject when projected on the input images. Firstly the user defines several feature points on the 3D generic model. Then a rough specific model is obtained via matching the 3D feature points of the 3D model to the corresponding ones of the images and deforming the generic model. Secondly the reconstruction is improved by matching the silhouette of the deformed "d model to those of the images. Thirdly, the result is refined by adopting three filters. Finally texture mapping and skinning are implemented.