Non-rigid 3D Model Classification Using 3D Hahn Moment Convolutional Neural Networks (Unknown language)

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In this paper, we propose a new architecture of 3D deep neural network called 3D Hahn Moments Convolutional Neural Network (3D HMCNN) to enhance the classification accuracy and reduce the computational complexity of a 3D pattern recognition system. The proposed architecture is derived by combining the concepts of image Hahn moments and convolutional neural network (CNN), frequently utilized in pattern recognition applications. Indeed, the advantages of the moments concerning their global information coding mechanism even in lower orders, along with the high effectiveness of the CNN, are combined to make up the proposed robust network. The aim of this work is to investigate the classification capabilities of 3D HMCNN on small 3D datasets. The experiment simulations with 3D HMCNN have been performed on the articulated parts of McGill 3D shape Benchmark database and SHREC 2011 database. The obtained results show the significantly high performance in the classification rates of the proposed model and its ability to decrease the computational cost by training low number of features generated by the first 3D moments layer.

Table of contents conference proceedings

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1
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21
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29
2D Scene Sketch-Based 3D Scene Retrieval
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37
2D Image-Based 3D Scene Retrieval
Abdul-Rashid, Hameed / Yuan, Juefei / Li, Bo / Lu, Yijuan / Bai, Song / Bai, Xiang / Bui, Ngoc-Minh / Do, Minh N. / Do, Trong-Le / Duong, Anh-Duc et al. | 2018
45
RGB-D Object-to-CAD Retrieval
Pham, Quang-Hieu / Tran, Minh-Khoi / Li, Wenhui / Xiang, Shu / Zhou, Heyu / Nie, Weizhi / Liu, Anan / Su, Yuting / Tran, Minh-Triet / Bui, Ngoc-Minh et al. | 2018
53
Protein Shape Retrieval
Langenfeld, Florent / Axenopoulos, Apostolos / Chatzitofis, Anargyros / Craciun, Daniela / Daras, Petros / Du, Bowen / Giachetti, Andrea / Lai, Yu-kun / Li, Haisheng / Li, Yingbin et al. | 2018
63
Retrieval of Gray Patterns Depicted on 3D Models
Moscoso Thompson, E. / Tortorici, C. / Werghi, N. / Berretti, S. / Velasco-Forero, S. / Biasotti, S. | 2018
71
Recognition of Geometric Patterns Over 3D Models
Biasotti, S. / Moscoso Thompson, E. / Barthe, L. / Berretti, S. / Giachetti, A. / Lejemble, T. / Mellado, N. / Moustakas, K. / Manolas, Iason / Dimou, Dimitrios et al. | 2018
79
Non-rigid 3D Model Classification Using 3D Hahn Moment Convolutional Neural Networks
Mesbah, Abderrahim / Berrahou, Aissam / Hammouchi, Hicham / Berbia, Hassan / Qjidaa, Hassan / Daoudi, Mohamed | 2018
87
Completion of Cultural Heritage Objects with Rotational Symmetry
Sipiran, Ivan | 2018
95
Person Re-Identification from Depth Cameras using Skeleton and 3D Face Data
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103
Experimental Similarity Assessment for a Collection of Fragmented Artifacts
Biasotti, Silvia / Thompson, Elia Moscoso / Spagnuolo, Michela | 2018
111
Performing Image-like Convolution on Triangular Meshes
Tortorici, Claudio / Werghi, Naoufel / Berretti, Stefano | 2018
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