自动化学报2012，Vol.38Issue(4)：497-506,10.DOI:10.3724/SP.J.1004.2012.00497
基于部件的三维目标检测算法新进展
Improvements of 3D Object Detection with Part-based Models
摘要
Abstract
3D Object detection in 3D views is important and fundamental in the computer vision field. Its core issues include coping with the problems of partial occlusion, intra-class variance, cluttered background and multiple views. Most recently, with the development of part-based model, the occlusion and intra-class variance problems have been partly solved. Therefore, researchers have focused then- attention mainly on multi-view problem. This paper gives detailed analysis of the 3D object detection problem with emphasis on the recent works related to this problem. At last, we summarize the algorithms introduced and give their comparisons.关键词
三维目标/目标检测/基于部件/几何模型/视角估计/多视角Key words
3D object, object detection, part-based, geometry model, pose estimation, multi-view引用本文复制引用
鹿文浩,李亚利,王生进,丁晓青..基于部件的三维目标检测算法新进展[J].自动化学报,2012,38(4):497-506,10.基金项目
国家自然科学基金(61071135),教育部博士点基金 （61071135）
