Rapid octree construction from image sequences
CVGIP: Image Understanding
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
blue-c: a spatially immersive display and 3D video portal for telepresence
ACM SIGGRAPH 2003 Papers
Video-Based Rendering
Visual Hull Construction in the Presence of Partial Occlusion
3DPVT '06 Proceedings of the Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)
Motion-based background subtraction using adaptive kernel density estimation
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
A bayesian approach to image-based visual hull reconstruction
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Real-time dynamic 3-D object shape reconstruction and high-fidelity texture mapping for 3-D video
IEEE Transactions on Circuits and Systems for Video Technology
Toward cinematizing our daily lives
Multimedia Tools and Applications
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We present a practical 3D reconstruction method that guarantees robust visual hull construction in real environments where segmentation errors and occlusion exist. The proposed method consists of foreground extraction and reliability-based shape-from-silhouette, and they are connected by the intra-/inter-silhouette reliabilities. In foreground extraction, all regions are classified into four categories based on their intra-reliabilities. Then the reliability-based shape-from-silhouette technique reconstructs a visual hull by carving a 3D space based on the intra-/inter-silhouette reliabilities. The proposed method provides a reliable visual hull in real environments without much increment of the system complexity compared with conventional systems.