Artificial Intelligence - Special volume on computer vision
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Reconstruction of structured scenes from two uncalibrated images
Pattern Recognition Letters
Systems and Computers in Japan
A new normalized method on line-based homography estimation
Pattern Recognition Letters
What can be done with an embedded stereo-rig in urban environments?
Robotics and Autonomous Systems
Kruppa equation based camera calibration from homography induced by remote plane
Pattern Recognition Letters
Simultaneous plane extraction and 2D homography estimation using local feature transformations
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Planar surface detection in image pairs using homographic constraints
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
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Identification of planes from a pair of uncalibrated stereo images is a challenging problem as it can lead to extracting virtual planes instead of physical ones, especially for complex scenes. We propose a new homography-based approach to extract physical planes and to distinguish them from virtual ones for general scenarios. The proposed approach uses noncoplanar points inside a plane to decide whether the plane is physical or virtual. Depending on the distribution of the points inside the convex hull of the plane, the plane is classified as likely virtual, likely physical, very likely virtual or very likely physical. To estimate homographies, we use our method which computes the homography for three points with no necessity to assume the fourth point being coplanar with the three. Experiments on real images demonstrate the validity of the proposed approach for general scenarios.