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» Epipolar Constraints for Multiscale Matching
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CVPR
2003
IEEE
14 years 7 months ago
Constraint on Five Points in Two Images
It is well-known that epipolar geometry relating two uncalibrated images is determined by at least seven correspondences. If there are more than seven of them, their positions can...
Tomás Werner
IJCV
2002
156views more  IJCV 2002»
13 years 5 months ago
Trinocular Stereo Using Shortest Paths and the Ordering Constraint
This paper describes a new algorithm for disparity estimation using trinocular stereo. The three cameras are placed in a right angled configuration. A graph is then constructed wh...
Motilal Agrawal
SIBGRAPI
2005
IEEE
13 years 11 months ago
Linear Complexity Stereo Matching Based on Region Indexing
This paper presents a linear complexity method for real-time stereo matching, in which the processing time is only dependent on the image resolution. Regions along each epipolar l...
Marco Antonio Floriano de Oliveira, Raul Sidnei Wa...
ICCV
2003
IEEE
14 years 7 months ago
View-invariant Alignment and Matching of Video Sequences
In this paper, we propose a novel method to establish temporal correspondence between the frames of two videos. 3D epipolar geometry is used to eliminate the distortion generated ...
Cen Rao, Alexei Gritai, Mubarak Shah, Tanveer Fath...
ICCV
2009
IEEE
14 years 1 months ago
Multiperspective Stereo Matching and Volumetric Reconstruction
Stereo matching and volumetric reconstruction are the most explored 3D scene recovery techniques in computer vision. Many existing approaches assume perspective input images and us...
Yuanyuan Ding, Jingyi Yu, and Peter Sturm