In Defense of the Eight-Point Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Good Features to Track
Real-time detection of out-of-plane objects in stereo vision
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
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This paper presents a method to extend the normalized direct linear transform (DLT) algorithm for homography estimation. Previously, only point correspondences were used. Now, line correspondences can be included as well. This extension is point-centric in that the lines are normalized to fit with the normalization used for points. Therefore, this method will be most useful if there are more point correspondences than line correspondences. The main contribution of this paper is the derivation of an equation to normalize lines compatible with point normalization. We also show that using lines directly produces more accurate results than using their point intersections. Testing is provided both using a simple chessboard example and a real world example from the UBC hockey tracking system. Further work is required to determine how to normalize in a line-centric fashion.