Model-driven grouping and recognition of generic object parts from single images

✍ Scribed by Maurizio Pilu; Robert B. Fisher

• Publisher: Elsevier Science
• Year: 1997
• Tongue: English
• Weight: 1019 KB
• Volume: 21
• Category: Article
• ISSN: 0921-8890
• DOI: 10.1016/s0921-8890(97)00010-9

✦ Synopsis

Grouping is often inte, nded as a general-purpose early vision stage which gathers together image features of perceptual salience, usually having a well-definable structure. This work addresses the problem of generic part-based grouping and recognition from single two-dimensional edge images following a strategy that employs generic part models at all stages: the key underlying idea is to perform a purposive grouping of simple parts and these parts can be conveniently represented by generic deformable part :models. This paper describes the proposed computational method, which is more extensively treated in Pilu (1996).