Geometric hashing using 3D aspects and constrained structures

Zhe Chen, Rongchun Zhao, Yanning Zhang

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

Geometric hashing, as an effective model retrieving method, acts as an important role in object recognition. The most of the current geometric hashing methods are suitable for the 2D scene recognition under affine transformation. In this paper, geometric hashing method is extended to 3D object recognition under perspective transformation. In which, 3D aspects of object and geometric constrained structures are used to construct hash table. In this way, geometric invariants of constrained structures can provide the hashing function, and the 3D aspects of object give the information of object pose, which can simplify matching procedure. In experiment, some artificial objects are used to verify the method and the experimental results show that the proposed method is correct and effective.

源语言英语
主期刊名8th International Conference on Signal Processing, ICSP 2006
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(印刷版)0780397371, 9780780397378
DOI
出版状态已出版 - 2006
活动8th International Conference on Signal Processing, ICSP 2006 - Guilin, 中国
期限: 16 11月 200620 11月 2006

出版系列

姓名International Conference on Signal Processing Proceedings, ICSP
2

会议

会议8th International Conference on Signal Processing, ICSP 2006
国家/地区中国
Guilin
时期16/11/0620/11/06

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