Many vision tasks such as 3D measurement, scene reconstruction, object recognition, etc.,
rely on feature correspondence among images. This paper presents a point matching method for 3D
surface measurement. The procedure of the method is as follows: (1) rectification for stereo image
pairs; (2) computation of epipolar lines; (3) sequential matching in vertical direction; (4) sequential
matching in horizontal direction. The fourth step is performed to deal with the ambiguity in dense
areas where points have closer vertical coordinates. In the fourth step a threshold limit of vertical
coordinate difference is designed to determine those points potential to cause ambiguity. This method
was applied to the 3D surface measurement for an inflatable parabolic reflector with validity of point
matching up to 100%. Experiment results show that this method is feasible in application of sparse
point matching for continuous surface measurements.
Virtual Line Descriptor and Semi-Local Graph Matching Method for Reliable Feature Correspondence