Knowledge-based part correspondence

✍ Scribed by Boaz J. Super

• Book ID: 103878892
• Publisher: Elsevier Science
• Year: 2007
• Tongue: English
• Weight: 535 KB
• Volume: 40
• Category: Article
• ISSN: 0031-3203
• DOI: 10.1016/j.patcog.2006.12.029

✦ Synopsis

This paper presents a direct method for finding corresponding pairs of parts between two shapes. Statistical knowledge about a large number of parts from many different objects is used to find a part correspondence between two previously unseen input shapes. No class membership information is required. The knowledge-based approach is shown to produce significantly better results than a classical metric distance approach. The potential role of part correspondence as a complement to geometric and structural comparisons is discussed.