Three-dimensional object recognition
ACM Computing Surveys (CSUR) - Annals of discrete mathematics, 24
ACM SIGGRAPH 2005 Papers
Towards Stable and Salient Multi-View Representation of 3D Shapes
SMI '06 Proceedings of the IEEE International Conference on Shape Modeling and Applications 2006
A survey of content based 3D shape retrieval methods
Multimedia Tools and Applications
A salient-point signature for 3d object retrieval
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Multiresolution wavelet analysis of shape orientation for 3d shape retrieval
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Three-dimensional shape searching: state-of-the-art review and future trends
Computer-Aided Design
3D model retrieval based on adaptive views clustering
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Combining topological and view-based features for 3D model retrieval
Multimedia Tools and Applications
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This paper presents a method for selecting salient 2D views to describe 3D objects for the purpose of retrieval. The views are obtained by first identifying salient points via a learning approach that uses shape characteristics of the 3D points [4, 3]. The salient views are selected by choosing views with multiple salient points on the silhouette of the object. Silhouette-based similarity measures from [6] are then used to calculate the similarity between two 3D objects. Experimental results show that the retrieval results using the salient views are comparable to the existing light field descriptor method [6], and our method achieves a 15-fold speedup in the feature extraction computation time.