Topology matching for fully automatic similarity estimation of 3D shapes
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
ACM Transactions on Graphics (TOG)
ACM Transactions on Graphics (TOG)
SUMMAC: a text summarization evaluation
Natural Language Engineering
ACM SIGGRAPH 2005 Papers
Feature-based similarity search in 3D object databases
ACM Computing Surveys (CSUR)
Salient critical points for meshes
Proceedings of the 2007 ACM symposium on Solid and physical modeling
Distinctive regions of 3D surfaces
ACM Transactions on Graphics (TOG)
A framework for multimedia content abstraction and its application to rushes exploration
Proceedings of the 6th ACM international conference on Image and video retrieval
Content-Based 3D Object Retrieval
IEEE Computer Graphics and Applications
Content-Based 3-D Model Retrieval: A Survey
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
3D similarity search using a weighted structural histogram representation
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
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This paper proposes a 3D mesh abstraction framework that is capable of segmenting a 3D mesh into specific parts called "saliency regions" based on a saliency computation process, by which the intrinsic pattern of the 3D mesh is promisingly able to be identified. It is then potential to extract effective feature representations from saliency regions for the purpose of 3D mesh retrieval. The process of searching saliency regions is a combination of vertex saliency computation and face saliency computation. Afterwards, a simple selection strategy is adopted to determine the final partition of saliency regions. Experimental results are also provided to show the effectiveness of the proposed framework.