Computer Science ›› 2019, Vol. 46 ›› Issue (3): 148-153.doi: 10.11896/j.issn.1002-137X.2019.03.022
• ChinaMM2018 • Previous Articles Next Articles
LI Yin-min1,2,XUE Kai-xin1,2,GAO Zan1,2,3,XUE Yan-bin1,2,XU Guang-ping1,2,ZHANG Hua1,2
CLC Number:
[1]OHBUCHI R,FURUYA T.Accelerating bag-of-features sift algorithm for 3d model retrieval∥Proc. SAMT 2008 Workshop on Semantic 3D Media.2008:23-30. [2]GAO Y,DAI Q,ZHANG N Y.3D model comparison using spatial structure circular descriptor[J].Pattern Recognition,2010,43(3):1142-1151. [3]LI B,JOHAN H.3D model retrieval using hybrid features and class information[M].Kluwer Academic Publishers,2013. [4]VRANIC D V,SAUPE D.3D model retrieval.Leipzig:University of Leipzig,2004. [5]DARAS P,AXENOPOULOS A.A 3D Shape Retrieval Framework Supporting Multimodal Queries[J].International Journal of Computer Vision,2010,89(2-3):229-247. [6]SHIH J L,LEE C H,WANG J T.A new 3D model retrieval approach based on the elevation descriptor[J].Pattern Recognition,2007,40(1):283-295. [7]LU K,HE N,XUE J,et al.Learning View-Model Joint Relevance for 3D Object Retrieval[J].IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society,2015,24(5):1449-1459. [8]OHBUCHI R,FURUYA T.Scale-weighted dense bag of visual features for 3D model retrieval from a partial view 3D model[C]∥IEEE,International Conference on Computer Vision Workshops.IEEE,2009:63-70. [9]DUBUISSON M P,JAIN A K.A modified Hausdorff distance for object matching[C]∥IEEE Conference on Computer Vision and Image Processing.1994:566-568. [10]GAO Y,DAI Q.View-based 3-D object retrieval.Holland:Morgan Kaufmann,2014. [11]ANSARY T F,DAOUDI M,VANDEBORRE J P.A Bayesian 3-D Search Engine Using Adaptive Views Clustering[J].IEEE Transactions on Multimedia,2006,9(1):78-88. [12]ANSARY T F,DAOUDI M,VANDEBORRE J P.A Bayesian 3-D Search Engine Using Adaptive Views Clustering[J].IEEE Transactions on Multimedia,2006,9(1):78-88. [13]GAO Y,TANG J,HONG R,et al.Camera Constraint-Free View-Based 3-D Object Retrieval[J].IEEE Transactions on Ima-ge Processing,2012,21(4):2269-2281. [14]LIU X,WANG M,YIN B C,et al.Event-Based Media Enrichment Using an Adaptive Probabilistic Hypergraph Model.[J].IEEE Transactions on Cybernetics,2015,45(11):2461. [15]ZHU L,SHEN J,JIN H,et al.Content-Based Visual Landmark Search via Multimodal Hypergraph Learning[J].IEEE Transactions on Cybernetics,2015,45(12):2756. [16]LIU A A,NIE W Z,GAO Y,et al.Multi-Modal Clique-Graph Matching for View-Based 3D Model Retrieval[J].IEEE Tran-sactions on Image Processing,2016,25(5):2103-2116. [17]LU K,HE N,XUE J,et al.Learning View-Model Joint Rele- vance for 3D Object Retrieval[J].IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society,2015,24(5):1449-1459. [18]GAO Y,DAI Q,WANG M,et al.3D model retrieval using weighted bipartite graph matching[J].Signal Processing Image Communication,2011,26(1):39-47. [19]LEORDEANU M,HEBERT M.A Spectral Technique for Correspondence Problems Using Pairwise Constraints[C]∥Tenth IEEE International Conference on Computer Vision.IEEE Computer Society,2005:1482-1489. [20]CHO M,LEE J,LEE K M.Reweighted random walks for graph matching[C]∥European Conference on Computer Vision.Springer,Berlin,Heidelberg,2010:492-505. [21]LIU A,WANG Z,NIE W,et al.Graph-based characteristic view set extraction and matching for 3D model retrieval[J].Information Sciences,2015,320:429-442. [22]KHOTANZAD A,HONG Y H.Invariant Image Recognition by Zernike Moments[J].IEEE Transactions on Pattern Analysis & Machine Intelligence,1990,12(5):489-497. [23]DALAL N,TRIGGS B.Histograms of oriented gradients for human detection[C]∥IEEE Computer Society Conference on Computer Vision and Pattern Recognition,2005(CVPR 2005).IEEE,2005:886-893. [24]PERRONNIN F,MENSINK T.Improving the fisher kernel for large-scale image classification[C]∥European Conference on Computer Vision.Springer-Verlag,2010:143-156. [25]DONAHUE J,JIA Y,VINYALS O,et al.DeCAF:A Deep Convolutional Activation Feature for Generic Visual Recognition∥International Conference on Machine Learning.2014:647-655. [26]NIE W,CAO Q,LIU A,et al.Convolutional deep learning for 3D object retrieval.Multimedia Systems,2017,23(3):325-332. [27]LEIBE B,SCHIELE B.Analyzing appearance and contour based methods for object categorization∥2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.IEEE,2003,2:II-409. [28]CHEN D Y.On visual similarity based 3d model retrieval[C]∥Computer Graphics Forum.2003:223-232. [29]GAO Y,WANG M,JI R,et al.3-D Object Retrieval With Haus- dorff Distance Learning[J].IEEE Transactions on Industrial Electronics,2013,61(4):2088-2098. [30]GAO Y,WANG M,ZHA Z J,et al.Less is More:Efficient 3-D Object Retrieval With Query View Selection[J].IEEE Transactions on Multimedia,2011,13(5):1007-1018. [31]LLER H,LLER W,SQUIRE D M,et al.Performance evaluation in content-based image retrieval:overview and proposals[J].Pattern Recognition Letters,2001,22(5):593-601. [32]NIE W Z,LIU A A,SU Y T.3D object retrieval based on sparse coding in weak supervision[J].Journal of Visual Communication &Image Representation,2016,37(C):40-45. |
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