吉林大学学报（信息科学版）2016，Vol.34Issue(2)：289-295,7.
基于双目立体视觉的目标识别与定位
Object Recognition and Localization Based on Binocular Stereo Vision
王德海 1洪伟 1程群哲1
作者信息
- 1. 吉林大学 通信工程学院，长春130022
- 折叠
摘要
Abstract
In order to solve the issue that recognizing object from different angles and the mismatching of the contour center of the object in left and right images,this work combines the SURF( Speeded Up Robust Features)algorithm and GrabCut algorithm. Firstly,we capture object images from different angles to establish object template image database in offline mode and use SURF algorithm for object recognition. Secondly, automatically initialize the GrabCut algorithm using SURF algorithm and realize the object contour extraction. Finally,we realize the matching of the contour center of the object based on gray relevant regional matching algorithm and get the localization of the object according to 3d reconstruction principle. Experiments show that the proposed method can recognize object successfully and locate the object accurately.关键词
立体视觉/目标识别与定位/SURF算法/GrabCut算法Key words
stereo vision/object recognition and localization/speeded up robust features(SURF)algorithm/GrabCut algorithm分类
信息技术与安全科学引用本文复制引用
王德海,洪伟,程群哲..基于双目立体视觉的目标识别与定位[J].吉林大学学报（信息科学版）,2016,34(2):289-295,7.
