3D model retrieval based on the automatic relevant/irrelevant model selection algorithms

• Main Authors: Yu-Cheng Chang, 張育誠
• Other Authors: Jau-Ling Shih
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/38670860335461200383

碩士 === 中華大學 === 資訊工程學系(所) === 97 === In recent years, advanced techniques on digitization and visualization of 3D models have made 3D models as plentiful as images and video. The rapid generation of 3D models has made the development of efficient 3D model retrieval systems become urgently. In this paper, we propose the Automatic Relevant/Irrelevant Models Selection (ARMS) to automatically determine the relevant and irrelevant information for improving retrieval result. The ARSM is used to individually combine with query point movement (QPM), feature re-weighting method (FRM). Finally, our feature integration method is used to automatically determine feature weighting and modify query feature vector. Experiments conducted on the Princeton Shape Benchmark (PSB) database have shown that the proposed feature integration approach provides a promising retrieval result.