Proceedings of the Annual Conference of the Institute of Image Electronics Engineers of Japan
Online ISSN : 2436-4398
Print ISSN : 2436-4371
Proceedings of Visual Computing / Graphics and CAD Joint Symposium 2007
Session ID : 07-28
Conference information

12:00-14:00 Poster Session Chair: Tatsuo YOTSUKURA, Advanced Telecommunications Research Institute International
GPU Acceleration of 3D Model Retrieval based on Shape Similarity
Hideki KINOSHITA*Hidetoshi ANDORyutaro OHBUCHI
Author information
CONFERENCE PROCEEDINGS FREE ACCESS

Details
Abstract
Some of the most successful shape-similarity comparison methods for retrieval of 3D models are appearance-based. Despite their high retrieval performance, these methods require substantial amount of computation for generating, storing, and then comparing features. This paper proposes a GPU-based algorithm for shape similarity-based retrieval of 3D model. Based on a multiple-view 2D image comparison method, our algorithm performs both feature computation and inter-feature dissimilarity computation on a GPU. Experimental evaluation showed significant reduction in time for 3D model retrieval over conventional CPU-based method, while preserving equivalent retrieval performance and retrieval results.
Content from these authors
© 2007 The Institute of Image Electronics Engineers of Japan
Previous article Next article
feedback
Top