Storage optimization method based on region of interest in part pose recognition

Abstract

In order to reduce the large amount of storage space occupied by model pose library in part pose recognition, a storage optimization method based on region of interest is proposed. First, perspective projection is used to render part CAD model, and sampling on view sphere uniformly to get model pose library. The region of interest of pose image is then cropped to optimize pose library storage space. The region of interest is identified as follows: transform pose image into gray image and then black and white image, mark largest connected domain in black and white image and crop it with external rectangle. Then, the part real image is obtained and the region of interest is cropped similarly. The part real image is matched to the pose library by template match. Finally, the optimal match image is recognized by template match algorithm and applied to adjust part CAD model. Experimental results show that the average storage optimization rate of the two models used in experiment reached 88.2%, and the average time of parts pose recognition is about two seconds.