Based on Binocular Vision of Sorting Robot Research on Stereo Matching Method
Aiming at the problems of slow speed and low precision of the current auto parts sorting robot,a method for extract-ing feature points of auto parts images that combines SIFT algorithm and Harris corner point algorithm is proposed.By match-ing high contrast feature points after screening through threshold adaptive method,by improving the RANSAC algorithm to eliminate mismatched points,complete the three-dimensional matching of sorting robots.By conducting comparative analysis through experiments,verify the effectiveness of the proposed method.Experimental results show that,this method simplifies the calculation and effectively eliminates mismatches on the basis of ensuring accuracy,the maximum error between actual mea-surement and calculation is 1.21mm,which meets the accuracy requirements of the sorting robot.This research provides a cer-tain reference for the development of sorting robots.
NETL
NSTL
万方数据
维普
