Computational geometry in C
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using geometric corners to build a 2D mosaic from a set of image
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Generalized use of homographies for piecewise planar reconstruction
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
The Distinction between Virtual and Physical Planes Using Homography
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
Image registration for foveated panoramic sensing
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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Planar surfaces are important characteristics in man-made environments and have been successfully applied to camera calibration and interactive modeling. We develop a method for detecting planes in image pairs under epipolar constraints using planar homographies. In order to extract the whole planes, the normalized cut method is used to segment the original images. We pick those segmented regions that best fit a triangulation of the homography inliers as the detected planes. We illustrate the algorithm’s performance using gray-level and color image pairs.