ACM Transactions on Graphics (TOG)
Rotation invariant spherical harmonic representation of 3D shape descriptors
Proceedings of the 2003 Eurographics/ACM SIGGRAPH symposium on Geometry processing
A spectral approach to shape-based retrieval of articulated 3D models
Computer-Aided Design
Pose-Oblivious Shape Signature
IEEE Transactions on Visualization and Computer Graphics
A survey of content based 3D shape retrieval methods
Multimedia Tools and Applications
3D Model Retrieval Using Probability Density-Based Shape Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Three-dimensional shape searching: state-of-the-art review and future trends
Computer-Aided Design
SHREC'10 track: generic 3D warehouse
EG 3DOR'10 Proceedings of the 3rd Eurographics conference on 3D Object Retrieval
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3D model retrieval has attracted more and more research interests. Lots of shape descriptors have been proposed till now. But during the process of constructing these shape descriptors, feature correlation among models is not considered. In this paper, we propose a simple but very effective method in improving retrieving accuracy by employing correlative information, namely feature template. Feature template is designed to remove such small variation while remaining discriminative features by performing meaning operation of feature vectors. As a result, it makes the feature vector be more robust for better retrieving accuracy. In addition, the feature template can be regarded as a post-processing of existing shape descriptors. Therefore, the proposed method can be used to improve retrieving accuracy for any shape descriptors in the form of feature vector. In experiments, we test the proposed method for several shape descriptors by using a public 3D model database. Comparing with original shape descriptors, our method can greatly improve the retrieval accuracy.