Knowledge-based part correspondence |
| |
Authors: | Boaz J. Super [Author Vitae] |
| |
Affiliation: | Computer Science Department, University of Illinois at Chicago, Chicago, IL 60607, USA |
| |
Abstract: | 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. |
| |
Keywords: | Part correspondence Shape matching Chance probability functions Nonaccidentalness Knowledge-based matching |
本文献已被 ScienceDirect 等数据库收录! |