Invariant Image Recognition by Zernike Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM Transactions on Graphics (TOG)
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
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SSD '99 Proceedings of the 6th International Symposium on Advances in Spatial Databases
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Proceedings of the sixth Eurographics workshop on Multimedia 2001
Suggestive contours for conveying shape
ACM SIGGRAPH 2003 Papers
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Proceedings of the 2003 Eurographics/ACM SIGGRAPH symposium on Geometry processing
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SMI '01 Proceedings of the International Conference on Shape Modeling & Applications
SMI '04 Proceedings of the Shape Modeling International 2004
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LKR'08 Proceedings of the 3rd international conference on Large-scale knowledge resources: construction and application
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ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II
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
A comparison of methods for sketch-based 3D shape retrieval
Computer Vision and Image Understanding
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3DOR '13 Proceedings of the Sixth Eurographics Workshop on 3D Object Retrieval
SHREC'13 track: large-scale partial shape retrieval using simulated range images
3DOR '13 Proceedings of the Sixth Eurographics Workshop on 3D Object Retrieval
SHREC'13 track: large scale sketch-based 3D shape retrieval
3DOR '13 Proceedings of the Sixth Eurographics Workshop on 3D Object Retrieval
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3D model feature extraction is an important issue for 3D object retrieval. We propose a novel 3D model feature named view context and based on this we construct a view context shape descriptor for 3D model retrieval. The view context of a particular view captures the distribution of visual information differences between this view and a set of arranged views. We select a set of feature views, compute their view contexts and use them as the shape descriptor of a 3D model. In order to enhance the retrieval accuracy, we perform an approximate symmetric axis-based 3D model alignment and propose a combined shape distance between two models, by incorporating the dissimilarity between two view context shape descriptors and the Zernike moments feature difference between the feature views of two models. Experiment results show that the view context shape descriptor is comparable with the state-of-the-art descriptors in retrieval performance.