Recognition of non-rigid objects

Pong Chi YUEN*

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


A framework of a computer vision system to recognize non-rigid object is designed and developed. Constant curvature arc segments and corners which are invariant to object's orientation and scaling, are selected as primitives of object. To identify an unknown object based on detected primitives, a string matching technique is developed. A set of handtools is employed to evaluate the performance of the system and the results are encouraging.

Original languageEnglish
Pages (from-to)85-89
Number of pages5
JournalIEE Conference Publication
Issue number410
Publication statusPublished - 1995
EventProceedings of the 5th International Conference on Image Processing and its Applications - Edinburgh, UK
Duration: 4 Jul 19956 Jul 1995

Scopus Subject Areas

  • Electrical and Electronic Engineering


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