A multi-BRIEF-descriptor stereo matching algorithm for binocular visual sensing of fillet welds with indistinct features
A multi-BRIEF-descriptor stereo matching algorithm for binocular visual sensing of fillet welds with indistinct features
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DOI：
10.1016/j.jmapro.2021.04.031
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发表时间：
2021-06
影响因子：
6.2
通讯作者：
Tao Wang-;Zhijiang Wang;Yue Cao;Yuchen Wang;Shengsun Hu
中科院分区：
文献类型：
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作者：
Tao Wang-;Zhijiang Wang;Yue Cao;Yuchen Wang;Shengsun Hu
本文采用双目视觉技术对焊缝进行识别和定位，以期更好地处理焊缝的重建，提取焊缝信息。然而，焊接件表面特征的模糊性或相似性使得双目视觉中的立体匹配过程变得困难。提出了一种结合极线约束的多BRIEF-描述子立体匹配算法，以提高匹配效果，减少匹配时间。该算法通过仔细检测焊件的边缘信息并将其作为特征点，采用不同的BRIEF（Binary Robust Independent Elementary Features）描述子进行多次立体匹配处理，消除融合信息后的特征不明显或相似造成的误匹配。立体匹配结果表明，与SURF（Speeded Up Robust Features）和ORB（Oriented FAST and Rotated BRIEF）描述符特征匹配方法相比，该方法在减少误匹配和获得更多匹配特征点方面具有优势，但其时间消耗略高于SURF。
Binocular vision is employed in the present work for recognition and positioning of weld seams with the expectation of well handling the reconstruction of the welds for extracting the weld information. However, the indistinct or similar features for the surface of weldments make the stereo matching process in binocular vision difficult. A multi-BRIEF-descriptor stereo matching algorithm with the combination of epipolar constraint is proposed to improve the matching results and to reduce the time consumption. In the algorithm, the distinct edge information of the weldment is carefully detected and taken as the feature points, and the multiple stereo matching processes are conducted with different BRIEF (Binary Robust Independent Elementary Features) descriptors to eliminate the mismatches caused by the indistinct or similar features with fused information. Stereo matching results show that this approach has advantages in reducing the mismatches and obtaining more matched feature points compared with the feature matching methods with the descriptor of SURF (Speeded Up Robust Features), or ORB (Oriented FAST and Rotated BRIEF), although it consumes somewhat more time than that with SURF.