Generalizations of angular radial transform for 2D and 3D shape retrieval
Pattern Recognition Letters
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ACM Computing Surveys (CSUR)
A survey of content based 3D shape retrieval methods
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Efficient algorithms for computing Reeb graphs
Computational Geometry: Theory and Applications
Dense sampling and fast encoding for 3D model retrieval using bag-of-visual features
Proceedings of the ACM International Conference on Image and Video Retrieval
Deformation-driven shape correspondence
SGP '08 Proceedings of the Symposium on Geometry Processing
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International Journal of Computer Vision
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A 3D shape retrieval framework for 3D smart cities
Frontiers of Computer Science in China
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Proceedings of the international conference on Multimedia
Towards automatic classification of 3-d museum artifacts using ontological concepts
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
A 3D shape segmentation approach for robot grasping by parts
Robotics and Autonomous Systems
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ICAT'06 Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-Existence
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A skeleton-based approach for shape correspondence
Proceedings of the 11th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry
Content-based 3D model retrieval using a single depth image from a low-cost 3D camera
The Visual Computer: International Journal of Computer Graphics
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3DOR '13 Proceedings of the Sixth Eurographics Workshop on 3D Object Retrieval
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This article presents an improved method of 3D mesh modelsindexing for content-based retrieval in database withshape similarity and appearance queries. The approachis based on the Multiresolutional Reeb Graph matchingpresented in [1]. The original method only takes into accounttopological information what is often not sufficientfor effective matchings. Therefore we proposed to augmentthis graph with geometrical attributes. We also provide anew topological coherence condition to improve the graphmatching. Moreover 2D appearance attributes and 3D featuresare extracted and merged to improve the estimationof the similarity between models. Besides, all these newattributes are user-dependent as they can be weighted byvariable terms. We obtain a flexible multiresolutional andmulticriteria representation called Augmented Reeb Graph(ARG). Good preliminary results have been obtained ina shape-based matching framework compared to existingmethods based only on statistical measures. In addition,our study lead us to an innovative part matching schemebased on the same approach as our Augmented Reeb Graphmatching.