A shape-based searching system for industrial components
Proceedings of the 15th International Conference on Web 3D Technology
Local visual patch for 3d shape retrieval
Proceedings of the ACM workshop on 3D object retrieval
Shape google: Geometric words and expressions for invariant shape retrieval
ACM Transactions on Graphics (TOG)
3D shape retrieval using bag-of-feature method basing on local codebooks
ICISP'12 Proceedings of the 5th international conference on Image and Signal Processing
A comparison of methods for non-rigid 3D shape retrieval
Pattern Recognition
SHREC'10 track: large scale retrieval
EG 3DOR'10 Proceedings of the 3rd Eurographics conference on 3D Object Retrieval
SHREC'10 track: robust shape retrieval
EG 3DOR'10 Proceedings of the 3rd Eurographics conference on 3D Object Retrieval
Bag of words and local spectral descriptor for 3D partial shape retrieval
EG 3DOR'11 Proceedings of the 4th Eurographics conference on 3D Object Retrieval
SHREC'11 track: shape retrieval on non-rigid 3D watertight meshes
EG 3DOR'11 Proceedings of the 4th Eurographics conference on 3D Object Retrieval
Bag of features using sparse coding for gender classification
Proceedings of the 4th International Conference on Internet Multimedia Computing and Service
3D model retrieval using hybrid features and class information
Multimedia Tools and Applications
wFEM heat kernel: Discretization and applications to shape analysis and retrieval
Computer Aided Geometric Design
Feature-Preserved 3D Canonical Form
International Journal of Computer Vision
Surface- and volume-based techniques for shape modeling and analysis
SIGGRAPH Asia 2013 Courses
CM-BOF: visual similarity-based 3D shape retrieval using Clock Matching and Bag-of-Features
Machine Vision and Applications
Compact vectors of locally aggregated tensors for 3D shape retrieval
3DOR '13 Proceedings of the Sixth Eurographics Workshop on 3D Object Retrieval
SHREC'13 track: retrieval on textured 3D models
3DOR '13 Proceedings of the Sixth Eurographics Workshop on 3D Object Retrieval
Charge density-based 3D model retrieval using bag-of-feature
3DOR '13 Proceedings of the Sixth Eurographics Workshop on 3D Object Retrieval
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This paper presents a novel 3D shape retrieval method, which uses Bag-of-Features and an efficient multi-view shape matching scheme. In our approach, a properly normalized object is first described by a set of depth-buffer views captured on the surrounding vertices of a given unit geodesic sphere. We then represent each view as a word histogram generated by the vector quantization of the view’s salient local features. The dissimilarity between two 3D models is measured by the minimum distance of their all (24) possible matching pairs. This paper also investigates several critical issues including the influence of the number of views, codebook, training data, and distance function. Experiments on four commonly-used benchmarks demonstrate that: 1) Our approach obtains superior performance in searching for rigid models. 2) The local feature and global feature based methods are somehow complementary. Moreover, a linear combination of them significantly outperforms the state-of-the-art in terms of retrieval accuracy.