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題名:Learning and Recognizing Three-dimensional Shapes by a Neural Network Using Solid Angles
書刊名:International Journal of Systematic Innovation
作者:Kodama, Satoshi
出版日期:2022
卷期:7:3
頁次:頁1-15
主題關鍵詞:Neural networksShape recognitionShape registrationSolid angle
原始連結:連回原系統網址new window
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期刊論文
1.Funahashi, K.-I.(1989)。On the approximate realization of continuous mappings by neural networks。Neural Networks,2(3),183-192。  new window
2.Johnson, A. E.、Hebert, M.(1999)。Using spin images for efficient object recognition in cluttered 3D scenes。IEEE Transactions on Pattern Analysis and Machine Intelligence,21(5),433-449。  new window
3.Cybenko, G.(1989)。Approximation by superpositions of a sigmoidal function。Mathematics of Control, Signals, and Systems,2(4),303-314。  new window
4.Feng, Y.、Feng, Y.、You, H.、Zhao, X.、Gao, Y.(2019)。MeshNet: Mesh neural network for 3D shape representation。Proceedings of the AAAI Conference on Artificial Intelligence,33(1),8279-8286。  new window
5.Fukushima, K.(2013)。Artificial vision by multi-layered neural networks: Neocognitron and its advances。Neural Networks,37,103-119。  new window
6.Hinton, G. E.、Salakhutdinov, R. R.(2006)。Reducing the dimensionality of data with neural networks。Science,313(5786),504-507。  new window
7.Kato, Y.、Tanaka, S.、Kanamori, Y.、Mitani, J.(2019)。Single-View Modeling of Layered Origami with Plausible Outer Shape。Computer Graphics Forum,38(7),629-640。  new window
8.Kawakatsu, D.、Nakayama, A.、Kobori, K.、Kutsuwa, T.(1993)。A method of selecting an object in virtual reality。IPSJ SIG on CGVI,110,25-32。  new window
9.Kodama, S.(2018)。Effectiveness of inside/outside determination in relation to 3D non-convex shapes using CUDA。The Imaging Science Journal,66(7),409-418。  new window
10.Kodama, S.、Nakagawa, R.、Ozeki, Y.(2019)。Rapid determination of three-dimensional convex shapes by dispersion processing using java RMI。International Journal of Computer Science and Engineering,6(11),18-27。  new window
11.Mileff, P.、Dudra, J.(2019)。Simplified voxel based visualization。Production Systems and Information Engineering,8,5-18。  new window
12.Shi, Z.、Lin, Y.、Li, H.(2020)。Extraction of urban power lines and potential hazard analysis from mobile laser scanning point clouds。International Journal of Remote Sensing,41(9)。  new window
13.Varma, M. J.、Kx, V. K.、Thorannath, K. V.、Harshavardhan, C. A.、Ahmed, M. R.(2020)。3D Reconstruction of 2D Images using Deep Learning on the NVIDIA Jetson Nano。International Journal of Advanced Science and Technology,29(10s),7681- 7686。  new window
會議論文
1.Cohen, T. S.、Geiger, M.、Köehler, J.、Welling, M.(2018)。Spherical CNNs。  new window
2.Deng, H.、Birdal, T.、Ilic, S.(2018)。PPFNet: Global context aware local features for robust 3D point matching。2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition。  new window
3.Eleliemy, A.、Mohammed, A.、Ciorba, F. M.(2017)。Efficient generation of parallel spin-images using dynamic loop scheduling。IEEE 19th International Conference on High Performance Computing and Communications Workshops。  new window
4.Fang, Y.、Xie, J.、Dai, G.、Wang, M.、Zhu, F.、Xu, T.、Wong, E.(2015)。3D deep shape descriptor。IEEE Conference on Computer Vision and Pattern Recognition。  new window
5.Hachiuma, R.、Ozasa, Y.、Saito, H.(2017)。Primitive Shape Recognition via Superquadric representation using large margin nearest neighbor classifier325-332。  new window
6.Le, T.、Duan, Y.(2018)。PointGrid: A deep network for 3D shape understanding。2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition,9204-9214。  new window
7.Lui, M.、Yao, F.、Choi, C.、Sinha, A.、Ramni, K.(2019)。Deep learning 3D shapes using alt-az anisotropic 2-sphere convolution。  new window
8.Mescheder, L.、Oechsle, M.、Niemeyer, M.、Nowozin, S.、Geiger, A.(2019)。Occupancy networks: Learning 3D reconstruction in function space。2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition,4455-4465。  new window
9.Nakayama, A.、Kawakatsu, K.、Kobori, K.、Kutsuwa, T.(1994)。A checking method for a point inside a polyhedron in grasping an object of VR297-298。  new window
10.Sedaghat, N.、Zolfaghari, M.、Amiri, E.、Brox, T.(2017)。Orientation-boosted Voxel Nets for 3D Object Recognition。  new window
11.Su, H.、Maji, S.、Kalogerakis, E.、Learned-Miller, E.(2015)。Multi-view convolutional neural networks for 3D shape recognition。2015 IEEE International Conference on Computer Vision。  new window
12.Takahashi, K.、Numajiri, T.、Sogabe, M.、Sakamoto, K.、Yamaguchi, K.、Yokogawa, S.、Sogabe, T.(2018)。Development of general-purpose CNN deep layer learning method using feature graph。The 32nd Annual Conference of the Japanese Society for Artificial Intelligence。  new window
13.Wang, Y.、Pan, G.、Wu, Z.、Han, S.(2004)。Sphere-Spin-Image: A Viewpoint-Invariant surface representation for 3D face recognition。Lecture Notes in Computer Science,427-434。  new window
14.Wu, Z.、Song, S.、Khosla, A.、Yu, F.、Zhang, L.、Tang, X.、Xiao, J.(2015)。3D ShapeNets: A deep representation for volumetric shapes。2015 IEEE Conference on Computer Vision and Pattern Recognition。  new window
15.You, H.、Feng, Y.、Ji, R.、Gao, Y.(2018)。PVNet: A joint convolutional network of point cloud and multi-view for 3D shape recognition1310-1318。  new window
學位論文
1.Fang, H.(2019)。Geometric modeling of man-made objects at different level of details(博士論文)。Université Côte d'Azur。  new window
2.Johnson, A. E.(1997)。Spin-Images: A representation for 3-D surface matching(博士論文)。Carnegie Mellon University。  new window
圖書
1.Arecchi, V. A.、Messadi, T.、Koshel, J. R.(2007)。Field Guide to Illumination。Society of Photo Optical。  new window
2.小高知宏(2016)。機械学習と深層学習--C言語によるシミュレーション。Ōmusha。  延伸查詢new window
單篇論文
1.Van den Oord, A.,Dieleman, S.,Zen, H.,Simonyan, K.,Vinyals, O.,Graves, A.,Kavukcuoglu, K.,Kalchbrenner, N.,Senior, A.(2016)。WaveNet: A generative model for raw audio(1609.03499)。  new window
2.Ahmed, E.,Saint, A.,Shabayek, A. E. R.,Cherenkova, K.,Das, R.,Gusev, G.,Aouada, D.,Ottersten, B.(2019)。A survey on deep learning advances on different 3D data representations(1808.01462)。  new window
3.Kalchbrenner, N.,Espeholt, L.,Simonyan, K.,Oord, A.,Graves, A.,Kavukcuoglu, K.(2016)。Neural machine translation in linear time(1610.10099)。  new window
4.Kanezaki, A.,Matsushita, Y.,Nishida, Y.(2018)。RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews from Unsupervised Viewpoints(1603.06208)。  new window
其他
1.Jurafsky, D.,Martin, J. H.(2020)。Speech and language processing,https://web.stanford.edu/~jurafsky/slp3/。  new window
 
 
 
 
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