Volume/surface octrees for the representation of three-dimensional objects
Computer Vision, Graphics, and Image Processing
Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Rapid octree construction from image sequences
CVGIP: Image Understanding
Visual motion of curves and surfaces
Visual motion of curves and surfaces
Multiple view geometry in computer vision
Multiple view geometry in computer vision
Fast Stereo Matching Using Rectangular Subregioning and 3D Maximum-Surface Techniques
International Journal of Computer Vision
The Visual Hull Concept for Silhouette-Based Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi Viewpoint Stereo from Uncalibrated Video Sequences
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Multi-camera Scene Reconstruction via Graph Cuts
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Stereo Matching Using Belief Propagation
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Silhouette and stereo fusion for 3D object modeling
Computer Vision and Image Understanding - Model-based and image-based 3D scene representation for interactive visalization
Complex 3D Shape Recovery Using a Dual-Space Approach
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
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
Carved visual hulls for image-based modeling
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
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This paper makes use of both feature points and silhouettes to deliver fast 3D shape recovery from a turntable image sequence. The algorithm exploits object silhouettes in two views to establish a 3D rim curve, which is defined with respect to the two frontier points arising from two views. The images of this 3D rim curve in the two views are matched using cross correlation technique with silhouette constraint incorporated. A 3D planar rim curve is then reconstructed using point-based reconstruction method. A set of rims enclosing the object can be obtained from an image sequence captured under circular motion. The proposed method solves the problem of reconstruction of concave object surface, which is usually left unresolved in general silhouette-based reconstruction methods. In addition, the property of the organized reconstructed rim curves allows fast surface extraction. Experimental results with real data are presented.