Due to the problems of noise, textureless region and depth discontinuity in stereo matching, a new matching method
based on two cameras and one 3D image sensor is proposed in this paper. Though the 3D image sensor can offer a depth
map, it has low resolution and much noise. Therefore, it can not be used to 3D reconstruction. However, combining two
cameras with one 3D image sensor and regarding the depth map as an initial sparse disparity map is an advantage
method in stereo vision matching. This method can largely improve the matching accuracy and decrease the running
time. Finally, a dense disparity map can be obtained. The experiment results indicate that the proposed algorithm
performs well and the disparity map has more accuracy comparing with existing methods.
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