Three-dimensional image splicing method
A stereo image, left and right image technology, applied in the field of image processing and stereo vision, can solve the problems of shape distortion, not fully considering the consistency of stereo image parallax, artifacts, etc., to achieve the effect of enhancing clarity and depth perception
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Embodiment 1
[0037] The embodiment of the present invention proposes a stereo image stitching method, see figure 1 , the method consists of three models: the disparity minimization homography model is used to pre-align the left and right images and reduce the vertical disparity; the multi-constraint deformation model further aligns the left and right images, and at the same time introduces the initial disparity map to maintain the consistency of the stereo image disparity; the disparity Consistent seam selection and fusion models are used to determine the optimal seam and perform stereo image stitching, the best implementation is as follows:
[0038] 1. Pre-alignment based on parallax minimization homography model
[0039] Consider that the vertical disparity of stereo images can be controlled by feature points in spatial coordinates. Therefore, the vertical disparity of the pre-aligned object left and right images can be constrained by minimizing the y-coordinate difference between featu...
Embodiment 2
[0071] The scheme in embodiment 1 is carried out feasibility verification below, see the following description for details:
[0072] Table 1 shows the average vertical parallax comparison results of stereoscopic image stitching results. The comparison algorithms include: APAP and CSPS, where APAP is a planar image stitching algorithm, and CSPS is a stereoscopic image stitching algorithm. The smaller the average vertical parallax, the higher the 3D visual experience. It can be seen from Table 1 that the average vertical disparity value of the embodiment of the present invention is smaller than that of the APAP algorithm, which proves the effectiveness of the disparity constraint in stereoscopic image stitching. Furthermore, the CSPS algorithm performs worse than the embodiments of the present invention in maintaining disparity consistency. Mainly due to the shape distortion of the CSPS algorithm, it is easy to produce vertical parallax. It can be seen from Table 1 that benefi...
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