Mosaicing on Adaptive Manifolds
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Space of All Stereo Images
International Journal of Computer Vision - Marr Prize Special Issue
A new image rectification algorithm
Pattern Recognition Letters
Estimating the Jacobian of the Singular Value Decomposition: Theory and Applications
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Applications of a direct algorithm for the rectification of uncalibrated images
Information Sciences—Informatics and Computer Science: An International Journal
Stereo vision using two PTZ cameras
Computer Vision and Image Understanding
Self-calibration of spherical rectification for a PTZ-stereo system
Image and Vision Computing
An improved image rectification algorithm based on particle swarm optimization
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
Hand-held acquisition of 3D models with a video camera
3DIM'99 Proceedings of the 2nd international conference on 3-D digital imaging and modeling
Camera Models and Fundamental Concepts Used in Geometric Computer Vision
Foundations and Trends® in Computer Graphics and Vision
Estimation of F-Matrix and image rectification by double quaternion
Information Sciences: an International Journal
Closed-form stereo image rectification
Proceedings of the 27th Conference on Image and Vision Computing New Zealand
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We propose anew rectification method for aligning epipolar lines of a pair of stereo images taken under any camera geometry. It effectively remaps both images onto the surface of a cylinder instead of a plane, which is used in common rectification methods. For a large set of camera motions, remapping to a plane has the drawback of creating rectified images that are potentially infinitely large and presents a loss of pixel information along epipolar lines. In contrast, cylindrical rectification guarantees that the rectified images are bounded for all possible camera motions and minimizes the loss of pixel information along epipolar line. The processes (e.g., stereo matching, etc.) subsequently applied to the rectified images are thus more accurate and general since they can accommodate any camera geometry.