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Snake-search algorithm for stereo vision reconstruction via monocular system
Zhang Y(张阳); Leng YQ(冷雨泉); He X(何旭); Qi, Keqi
Department空间自动化技术研究室
Conference Name2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
Conference DateJune 8-12, 2015
Conference PlaceShenyang, China
Source Publication2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
PublisherIEEE
Publication PlacePiscataway, NJ, USA
2015
Pages497-502
Indexed ByEI ; CPCI(ISTP)
EI Accession number20161402187706
WOS IDWOS:000380502300096
Contribution Rank1
ISSN2379-7711
ISBN978-1-4799-8730-6
KeywordMonocular Stereo Vision Distinct Focal Length Snake-search
AbstractInspired by the stereo vision of human-eyes, a novel method for the three-dimension reconstruction by zooming is proposed. Firstly, two images of the object are taken at distinct focal lengths by the camera with zoom lens. The detailed analysis is processed by utilizing the pinhole model and geometrical optics, which prove this method is theoretically effective. The contour of the object is extracted in the image, which is taken on a relative larger focal length. Then, that image is divided into the Macro Blocks (MB), which is the minimum unit during image processing, and the MB with sufficient contour pixels are selected as the Feature Macro Blocks (FMB). The searching and matching are carried out by an original strategy named as Snake Search (SS) and defined matching criterion. After matching, two coordinates of same object point in both images are obtained. By the geometrical computation introduced, the 3D information of the object is acquired. Digital Camera (DC) is selected as the equipment in experiment, due to it is widely used consumer electronics products which meet the requirements. Experimental results in two different situation show that the method proposed is available and the 3D reconstruction by single camera is also a potential research area for stereo reconstruction.
Language英语
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/17673
Collection空间自动化技术研究室
Affiliation1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Science, Shenyang, Liaoning, China
2.State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Science, Changchun Jilin, China
Recommended Citation
GB/T 7714
Zhang Y,Leng YQ,He X,et al. Snake-search algorithm for stereo vision reconstruction via monocular system[C]. Piscataway, NJ, USA:IEEE,2015:497-502.
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