3D Model Retrieval with Spherical Harmonics and Moments
Proceedings of the 23rd DAGM-Symposium on Pattern Recognition
Rotation invariant spherical harmonic representation of 3D shape descriptors
Proceedings of the 2003 Eurographics/ACM SIGGRAPH symposium on Geometry processing
The Journal of Machine Learning Research
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Discovering Objects and their Localization in Images
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Creating Efficient Codebooks for Visual Recognition
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Local Features for Object Class Recognition
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Fast and Accurate Rotation Estimation on the 2-Sphere without Correspondences
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part II
Spatially Enhanced Bags of Words for 3D Shape Retrieval
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
Using irreducible group representations for invariant 3d shape description
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
IEEE Transactions on Robotics
Similarity based object retrieval of composite neuronal structures
EG 3DOR'12 Proceedings of the 5th Eurographics conference on 3D Object Retrieval
Local goemetrical feature with spatial context for shape-based 3D model retrieval
EG 3DOR'12 Proceedings of the 5th Eurographics conference on 3D Object Retrieval
3D object retrieval in an atlas of neuronal structures
The Visual Computer: International Journal of Computer Graphics
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In this paper, we present an adaptation the Bag of Features (BoF) concept to 3D shape retrieval problems. The BoF approach has recently become one of the most popular methods in 2D image retrieval. We extent this approach from 2D images to 3D shapes. Following the BoF outline, we address the necessary modifications for the 3D extension and present novel solutions for the parameterization of 3D patches, a 3D rotation invariant similarity measure for these patches and a method for the codebook generation. We experimentally evaluate the performance of our methods on the Princeton Shape Benchmark .