A survey of image registration techniques
ACM Computing Surveys (CSUR)
Computer Vision and Image Understanding
Information Processing Letters
Video Processing and Communications
Video Processing and Communications
A Global Solution to Sparse Correspondence Problems
IEEE Transactions on Pattern Analysis and Machine Intelligence
A direct method for stereo correspondence based on singular value decomposition
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
A Theory of Human Stereo Vision
A Theory of Human Stereo Vision
3D reconstruction of a human face with monocular camera based on head movement
VIP '05 Proceedings of the Pan-Sydney area workshop on Visual information processing
Computational Experiments with a Feature Based Stereo Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
New kernels for fast mesh-based motion estimation
IEEE Transactions on Circuits and Systems for Video Technology
Mesh Topological Optimization for Improving Piecewise-Linear Image Registration
Journal of Mathematical Imaging and Vision
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Image registration is a fundamental problem in the area of computer vision and has been extensively researched. Different image registration algorithm has its pros and cons. Unlike most of the algorithms, our approach defines a set of feature points uniformly distributed on the image. The feature points are linked up as nodes in a triangular mesh. The image registration in our approach seeks the corresponding points in the other image, while maintaining the triangular mesh. This approach guarantees the mapped result is smooth, and hence it is ideal for smooth objects. Our approach is also relatively good for images that do not have distinctive features.