3D-Model Retrieval Using Bag-of-Features Based on Closed Curves (English)

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Bag-of-feature technique is a popular approach in areas of computer vision and pattern recognition. Recently, it plays an important role in shape analysis community and especially in 3D-model retrieval. We present our approach for partial 3D-model retrieval using this technique based on closed curves. We define an invariant scalar function on the surface based on the commute-time distance. Our mapping function respects important properties in order to compute robust closed curves. Each scale of our scalar function detects a small region. The form of these regions are encoded in the form of the closed curves. We generate a collection of closed curves from a source point detected automatically. Based on the collection of all closed curves extracted, we construct our bag-of-features. Then we cluster the bag-of-features in the sense in accurate categorization. The centres of classes are defined as keyshapes. This method is particularly interesting in the sense of quantifying the 3D-model by its keyshapes that are accumulated into an histogram. The results shows the robustness of our method (BOF) compared to a method based on indexed closed curves (ICC) on various 3D-models with different poses.

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Local Signature Quantization by Sparse Coding
Boscaini, Davide / Castellani, Umberto | 2013
3D Human Video Retrieval: from Pose to Motion Matching
Slama, Rim / Wannous, Hazem / Daoudi, Mohamed | 2013
Automatic Shape Expansion with Verification to Improve 3D Retrieval, Classification and Matching
Knopp, Jan / Prasad, Mukta / Gool, Luc Van | 2013
3D-Model Retrieval Using Bag-of-Features Based on Closed Curves
Khoury, Rachid El / Vandeborre, Jean-Philippe / Daoudi, Mohamed | 2013
SHREC'13 Track: Retrieval of Objects Captured with Low-Cost Depth-Sensing Cameras
Machado, J. / Ferreira, A. / Pascoal, P. B. / Abdelrahman, M. / Aono, M. / El-Melegy, M. / Farag, A. / Johan, H. / Li, B. / Lu, Y. et al. | 2013
Geometric Histograms of 3D Keypoints for Face Identification with Missing Parts
Berretti, Stefano / Werghi, Naoufel / Bimbo, Alberto del / Pala, Pietro | 2013
SHREC'13 Track: Large-Scale Partial Shape Retrieval Using Simulated Range Images
Sipiran, I. / Meruane, R. / Bustos, B. / Schreck, T. / Johan, H. / Li, B. / Lu, Y. | 2013
Charge Density-Based 3D Model Retrieval Using Bag-of-Feature
Alizadeh, Fattah / Sutherland, Alistair | 2013
Sketch-Based 3D Model Retrieval by Viewpoint Entropy-Based Adaptive View Clustering
Li, Bo / Lu, Yijuan / Johan, Henry | 2013
Features Accumulation on a Multiple View Oriented Model for People Re-Identification
García, Jorge / Kambhamettu, C. / Gardel, A. / Bravo, I. / Lázaro, J. L. | 2013
SHREC'13 Track: Retrieval on Textured 3D Models
Cerri, A. / Biasotti, S. / Abdelrahman, M. / Angulo, J. / Berger, K. / Chevallier, L. / El-Melegy, M. / Farag, A. / Lefebvre, F. / Giachetti, A. et al. | 2013
Learning Kernels on Extended Reeb Graphs for 3D Shape Classification and Retrieval
Barra, Vincent / Biasotti, Silvia | 2013
Compact Vectors of Locally Aggregated Tensors for 3D Shape Retrieval
Tabia, Hedi / Picard, David / Laga, Hamid / Gosselin, Philippe-Henri | 2013
SymPan: 3D Model Pose Normalization via Panoramic Views and Reflective Symmetry
Sfikas, Konstantinos / Pratikakis, Ioannis / Theoharis, Theoharis | 2013
SHREC'13 Track: Large Scale Sketch-Based 3D Shape Retrieval
Li, B. / Lu, Y. / Godil, A. / Schreck, T. / Aono, M. / Johan, H. / Saavedra, J. M. / Tashiro, S. | 2013