Identification of 3D objects from multiple silhouettes using Quadtrees/Octrees
Computer Vision, Graphics, and Image Processing
On active contour models and balloons
CVGIP: Image Understanding
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Rapid octree construction from image sequences
CVGIP: Image Understanding
A signal processing approach to fair surface design
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
A volumetric method for building complex models from range images
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Semi-regular mesh extraction from volumes
Proceedings of the conference on Visualization '00
3D shape recovery of complex objects from multiple silhouette images
Pattern Recognition Letters
Free-viewpoint video of human actors
ACM SIGGRAPH 2003 Papers
Visual Hull Construction Using Adaptive Sampling
WACV-MOTION '05 Proceedings of the Seventh IEEE Workshops on Application of Computer Vision (WACV/MOTION'05) - Volume 1 - Volume 01
Silhouette and stereo fusion for 3D object modeling
Computer Vision and Image Understanding - Model-based and image-based 3D scene representation for interactive visalization
A volumetric fusion technique for surface reconstruction from silhouettes and range data
Computer Vision and Image Understanding
A hybrid approach for computing visual hulls of complex objects
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Non-rigid 3D shape tracking from multiview video
Computer Vision and Image Understanding
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We present a computationally efficient and robust shape from silhouette method based on topology-adaptive mesh deformation, which can produce accurate, smooth, and topologically consistent 3D mesh models of complex real objects. The deformation scheme is based on the conventional snake model coupled with local mesh transform operations that control the resolution and uniformity of the deformable mesh. Based on minimum and maximum edge length constraints imposed on the mesh, we describe a fast collision detection method which is crucial for computational efficiency of the reconstruction process. The topology of the deformable mesh, which is initially zero genus, can be modified whenever necessary by merging operations in a controlled and robust manner by exploiting the topology information available in the silhouette images. The performance of the proposed shape from silhouette technique is demonstrated on several real objects.