3-D Object Detection Based on Line Sets Matching

摘要：

　　3-D Object detection plays an important role in automation industry.It is a big challenge to detect 3-D object in images without knowing its pose because under this condition,the appropriate 2-D template cannot be obtained.In this paper,we propose a 3-D object detection method based on line sets matching.The algorithm uses line segments to represent the 3-D model,and applies projection transform to get several 2-D model sets.Then,it extracts line segments from the image by LSD.Hence,the 3-D object detection task is converted to line sets matching problem.Finally,the algorithm uses ISPD as similarity measurement and finds the best matching between data set and model sets by a restricted steepest-descent local matching method.Experimental results show that the proposed method can detect 3-D object in images and obtain its pose simultaneously.

关键词： 3-D object detection projection transform line sets matching

作者: WANG Xiao-yu HAN Bing SHANG Fang CHEN Xi

作者单位: Hei Longjiang Electric Power Research Institute Harbin, Hei Longjiang, China School of Electronic and Information Engineering Hebei University of Technology Tian Jin, China

会议类型: 国际会议

会议名称: 2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference(IAEAC 2015)(2015 IEEE先进信息技术,电子与自动化控制国际会议)

会议地点: 重庆

会议语种:英文

页码: 270-275

在线出版日期: 2015-12-19（万方平台首次上网日期，不代表论文的发表时间）