We focus on improving the effectiveness of content-based 3D shape retrieval. Motivated by retrieval performance of several individual 3D model feature vectors, we propose a novel method, called prior knowledge based automatic weighted combination, to improve the retrieval effectiveness. The method dynamically determines the weighting scheme for different feature vectors based on the prior knowledge. The experimental results show that the proposed method provides significant improvements on retrieval effectiveness of 3D shape search with several measures on a standard 3D database. Compared with two existing combination methods, the prior knowledge weighted combination technique has gained better retrieval effectiveness. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Biao, L., & Zheng, Q. (2007). Automatic combination of feature descriptors for effective 3D shape retrieval. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4418 LNCS, pp. 36–46). https://doi.org/10.1007/978-3-540-71457-6_4
Mendeley helps you to discover research relevant for your work.