基于极线校正的倾斜视场数字散斑匹配方法
By combining epipolar correction and shape function decomposition with ZNCC and NR methods, the problem of difficult left-right image matching under tilted field of view was solved, achieving efficient stereo matching under extremely tilted conditions and improving the applicability of digital speckle correlation method.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CIVIL AVIATION UNIV OF CHINA
- Filing Date
- 2023-05-19
- Publication Date
- 2026-07-17
AI Technical Summary
Under tilted field of view conditions, existing technologies suffer from weak correlation due to the compression of features in the left and right images and the large deformation of the corresponding sub-regions, making it difficult to achieve successful matching using digital image correlation methods.
The camera projection and rotation matrices are corrected using the epipolar correction method. The corrected projection and rotation matrices of the left and right cameras are constructed, the shape functions are decomposed, the initial values for deformation iteration are obtained using the ZNCC algorithm, and the NR method is combined for accurate matching.
It improves the success rate of speckle matching in tilted fields of view, ensures minimal distortion of left and right images, and enables stable and reliable stereo matching under extremely tilted conditions, thereby enhancing the applicability of the digital speckle correlation method.
Smart Images
Figure CN116843930B_ABST