A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
International Journal of Computer Vision
Novel View Synthesis by Cascading Trilinear Tensors
IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Photorealistic Scene Reconstruction by Voxel Coloring
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
A Specialized Multibaseline Stereo Technique for Obstacle Detection
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Multibaseline Stereo in the Presence of Specular Reflections
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Image-based rendering using image-based priors
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Dense Multiple View Stereo with General Camera Placement using Tensor Voting
3DPVT '04 Proceedings of the 3D Data Processing, Visualization, and Transmission, 2nd International Symposium
Wide-baseline multiple-view correspondences
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Epipolar line estimation and rectification for stereo image pairs
IEEE Transactions on Image Processing
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SSSD-based linear multibaseline stereo is an efficient implementation of multi-camera stereo vision system. This efficiency, however, vitally relies on the ideal configuration of all cameras. For dealing with non-ideal configurations, conventional stereo rectification algorithms can be used, but the performances are often still not satisfactory. This paper proposes a new algorithm to process non-ideally configured multibaseline stereo system, which not only avoids the rectification procedure but also remains the efficiency of SSSD at the same time. This is fulfilled by using the idea of tensor transfer used in image-based-rendering area. In particular, the multibaseline stereo is reformulated as a novel-view-synthesis problem. We propose a new concept of tensor-transfer to generate novel views as well as compute the depth map.