Volume/surface octrees for the representation of three-dimensional objects
Computer Vision, Graphics, and Image Processing
Generating octree models of 3D objects from their silhouettes in a sequence of images
Computer Vision, Graphics, and Image Processing
Shape reconstruction from planar cross sections
Computer Vision, Graphics, and Image Processing
Using occluding contours for 3-D object modeling
ECCV 90 Proceedings of the first european conference on Computer vision
Rapid octree construction from image sequences
CVGIP: Image Understanding
Surface reconstruction from multiple views using apparent contours and surface texture
Confluence of computer vision and computer graphics
The Visual Hull Concept for Silhouette-Based Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
3D Surface Reconstruction Using Occluding Contours
CAIP '95 Proceedings of the 6th International Conference on Computer Analysis of Images and Patterns
3D Reconstruction with projective Octrees and Epipolar Geometry
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
VIS '94 Proceedings of the conference on Visualization '94
Silhouette and stereo fusion for 3D object modeling
Computer Vision and Image Understanding - Model-based and image-based 3D scene representation for interactive visalization
Robust Recovery of Shapes with Unknown Topology from the Dual Space
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Volumetric Descriptions of Objects from Multiple Views
IEEE Transactions on Pattern Analysis and Machine Intelligence
3D video and free viewpoint video-From capture to display
Pattern Recognition
Active vision in robotic systems: A survey of recent developments
International Journal of Robotics Research
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In this paper, we present a novel approach for reconstructing an object surface from its silhouettes. The proposed approach directly estimates the differential structure of the surface, and results in a higher accuracy than existing volumetric approaches for object reconstruction. Compared with other existing differential approaches, our approach produces relatively complete 3D models similar to volumetric approaches, with the topology conforming to what is observed from the silhouettes. In addition, the method neither assumes nor depends on the spatial order of viewpoints. Experimental results on both synthetic and real world data are presented, and comparison is made with other existing approaches to demonstrate the superiority of the proposed approach.