The analysis and applications of adaptive-binning color histograms
Computer Vision and Image Understanding - Special issue on color for image indexing and retrieval
Signature quadratic form distances for content-based similarity
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Harris 3D: a robust extension of the Harris operator for interest point detection on 3D meshes
The Visual Computer: International Journal of Computer Graphics - Special Issue on 3DOR 2010
View context: a 3D model feature for retrieval
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
SHREC'09 track: querying with partial models
EG 3DOR'09 Proceedings of the 2nd Eurographics conference on 3D Object Retrieval
SHREC'10 track: range scan retrieval
EG 3DOR'10 Proceedings of the 3rd Eurographics conference on 3D Object Retrieval
SHREC'12 track: stability on abstract shapes
EG 3DOR'12 Proceedings of the 5th Eurographics conference on 3D Object Retrieval
SHREC'12 track: sketch-based 3D shape retrieval
EG 3DOR'12 Proceedings of the 5th Eurographics conference on 3D Object Retrieval
Sketch-based 3D model retrieval by incorporating 2D-3D alignment
Multimedia Tools and Applications
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Partial shape retrieval is a challenging problem in content-based 3D model retrieval. This track intends to evaluate the performance of existing algorithms for partial retrieval. The contest is based on a new large-scale query set obtained by mimicking the range image acquisition using a standard 3D benchmark as target set. The query set contains 7200 partial meshes with different levels of complexity. Furthermore, we propose the use of new performance measures based on a partiality factor. With this characteristics, our goal is to evaluate several important aspects: effectiveness, efficiency, robustness and scalability. The obtained results of this track open new questions regarding the difficulty of the partial shape retrieval problem and the scalability of algorithms. In addition, potential future directions on this topic are identified.