Salient critical points for meshes
Proceedings of the 2007 ACM symposium on Solid and physical modeling
A boosting approach to content-based 3D model retrieval
Proceedings of the 5th international conference on Computer graphics and interactive techniques in Australia and Southeast Asia
Upright orientation of man-made objects
ACM SIGGRAPH 2008 papers
A unified information-theoretic framework for viewpoint selection and mesh saliency
ACM Transactions on Applied Perception (TAP)
Technical Section: Semantics-driven best view of 3D shapes
Computers and Graphics
3d object retrieval using salient views
Proceedings of the international conference on Multimedia information retrieval
International Journal of Computer Vision
Saliency for animated meshes with material properties
Proceedings of the 7th Symposium on Applied Perception in Graphics and Visualization
A benchmark for best view selection of 3D objects
Proceedings of the ACM workshop on 3D object retrieval
SMI 2011: Full Paper: On visual complexity of 3D shapes
Computers and Graphics
Perceptual models of viewpoint preference
ACM Transactions on Graphics (TOG)
CSS-AFFN: a dataset representation model for active recognition systems
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
Automatic upright orientation and good view recognition for 3D man-made models
Pattern Recognition
Semantics-driven approach for automatic selection of best views of 3D shapes
EG 3DOR'10 Proceedings of the 3rd Eurographics conference on 3D Object Retrieval
3D Model-Based Semantic Categorization of Still Image 2D Objects
International Journal of Multimedia Data Engineering & Management
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An approach to automatically select stable and salient representative views of a given 3D object is proposed. Initially, a set of viewpoints are uniformly sampled along the surface of a bounding sphere. The sampled viewpoints are connected to their closest points to form a spherical graph in which each edge is weighted by a similarity measure between the two views from its incident vertices. Partitions of similar views are obtained using a graph partitioning procedure and their "centroids" are considered to be their representative views. Finally, the views are ranked based on a saliency measure to form the object's representative views. This leads to a compact, human-oriented 2D description of a 3D object, and as such, is useful both for traditional applications like presentation and analysis of 3D shapes, and for emerging ones like indexing and retrieval in large shape repositories.