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Volumn 34, Issue 6, 2015, Pages

CROSSLINK: Joint understanding of image and 3D model collections through shape and camera pose variations

Author keywords

Image search; Model collections; Pose estimation; Shape analysis; Shape variations

Indexed keywords

IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE RETRIEVAL;

EID: 84995916494     PISSN: 07300301     EISSN: 15577368     Source Type: Journal    
DOI: 10.1145/2816795.2818097     Document Type: Conference Paper
Times cited : (24)

References (53)
  • 1
    • 84995873737 scopus 로고    scopus 로고
    • Seeing 3D chairs: Exemplar part-based 2d-3d alignment using a large dataset of CAD models
    • AUBRY, M., MATURANA, D., EFROS, A. A., RUSSELL, B., AND SIVIC, J. 2014. Seeing 3D chairs: exemplar part-based 2d-3d alignment using a large dataset of CAD models. In IEEE CVPR.
    • (2014) IEEE CVPR
    • Aubry, M.1    Maturana, D.2    Efros, A.A.3    Russell, B.4    Sivic, J.5
  • 2
    • 84899113050 scopus 로고    scopus 로고
    • Painting-to-3D model alignment via discriminative visual elements
    • AUBRY, M., RUSSELL, B. C., AND SIVIC, J. 2014. Painting-to-3D model alignment via discriminative visual elements. ACM TOG 33, 2, 14:1-14:14.
    • (2014) ACM TOG , vol.33 , Issue.2 , pp. 14:1-14:14
    • Aubry, M.1    Russell, B.C.2    Sivic, J.3
  • 3
    • 84901850274 scopus 로고    scopus 로고
    • Shapesynth: Parameterizing model collections for coupled shape exploration and synthesis
    • AVERKIOU, M., KIM, V., ZHENG, Y., AND MITRA, N. J. 2014. Shapesynth: Parameterizing model collections for coupled shape exploration and synthesis. CGF Eurographics.
    • (2014) CGF Eurographics
    • Averkiou, M.1    Kim, V.2    Zheng, Y.3    Mitra, N.J.4
  • 4
    • 85007157147 scopus 로고    scopus 로고
    • Autocorrelation descriptor for efficient co-alignment of 3d shape collections
    • AVERKIOU, M., KIM, V. G., AND MITRA, N. J. 2015. Autocorrelation descriptor for efficient co-alignment of 3d shape collections. CGF.
    • (2015) CGF
    • Averkiou, M.1    Kim, V.G.2    Mitra, N.J.3
  • 5
    • 85028639150 scopus 로고    scopus 로고
    • A morphable model for the synthesis of 3d faces
    • BLANZ, V., AND VETTER, T. 1999. A morphable model for the synthesis of 3d faces. In Proc. SIGGRAPH, 187-194.
    • (1999) Proc. SIGGRAPH , pp. 187-194
    • Blanz, V.1    Vetter, T.2
  • 6
    • 77956502203 scopus 로고    scopus 로고
    • A theoretical analysis of feature pooling in visual recognition
    • BOUREAU, Y.-L., PONCE, J., AND LECUN, Y. 2010. A theoretical analysis of feature pooling in visual recognition. In Proc. ICML, 111-118.
    • (2010) Proc. ICML , pp. 111-118
    • Boureau, Y.-L.1    Ponce, J.2    LeCun, Y.3
  • 7
    • 0141504437 scopus 로고    scopus 로고
    • On visual similarity based 3d model retrieval
    • Wiley Online Library
    • CHEN, D.-Y., TIAN, X.-P., SHEN, Y.-T., AND OUHYOUNG, M. 2003. On visual similarity based 3d model retrieval. In Computer graphics forum, vol. 22, Wiley Online Library, 223-232.
    • (2003) Computer Graphics Forum , vol.22 , pp. 223-232
    • Chen, D.-Y.1    Tian, X.-P.2    Shen, Y.-T.3    Ouhyoung, M.4
  • 8
    • 71949090384 scopus 로고    scopus 로고
    • Image-to-geometry registration: A mutual information method exploiting illumination-related geometric properties
    • CORSINI, M., DELLEPIANE, M., PONCHIO, F., AND SCOPIGNO, R. 2009. Image-to-geometry registration: a mutual information method exploiting illumination-related geometric properties. In CGF, vol. 28, 1755-1764.
    • (2009) CGF , vol.28 , pp. 1755-1764
    • Corsini, M.1    Dellepiane, M.2    Ponchio, F.3    Scopigno, R.4
  • 9
    • 34249753618 scopus 로고
    • Support-vector networks
    • CORTES, C., AND VAPNIK, V. 1995. Support-vector networks. Machine learning 20, 3, 273-297.
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 10
    • 33645146449 scopus 로고    scopus 로고
    • Histograms of oriented gradients for human detection
    • IEEE
    • DALAL, N., AND TRIGGS, B. 2005. Histograms of oriented gradients for human detection. In IEEE CVPR, vol. 1, IEEE, 886-893.
    • (2005) IEEE CVPR , vol.1 , pp. 886-893
    • Dalal, N.1    Triggs, B.2
  • 11
    • 56749133138 scopus 로고    scopus 로고
    • Robust 3d pose estimation and efficient 2d region-based segmentation from a 3d shape prior
    • DAMBREVILLE, S., SANDHU, R., YEZZI, A., AND TANNEN-BAUM, A. 2008. Robust 3d pose estimation and efficient 2d region-based segmentation from a 3d shape prior. In ECCV. 169-182.
    • (2008) ECCV , pp. 169-182
    • Dambreville, S.1    Sandhu, R.2    Yezzi, A.3    Tannen-Baum, A.4
  • 12
    • 43249093335 scopus 로고    scopus 로고
    • Image retrieval: Ideas, influences, and trends of the new age
    • DATTA, R., JOSHI, D., LI, J., AND WANG, J. Z. 2008. Image retrieval: Ideas, influences, and trends of the new age. ACM Comput. Surv. 40, 2, 5:1-5:60.
    • (2008) ACM Comput. Surv. , vol.40 , Issue.2 , pp. 5:1-5:60
    • Datta, R.1    Joshi, D.2    Li, J.3    Wang, J.Z.4
  • 13
    • 85198028989 scopus 로고    scopus 로고
    • Imagenet: A large-scale hierarchical image database
    • IEEE
    • DENG, J., DONG, W., SOCHER, R., LI, L.-J., LI, K., AND FEI-FEI, L. 2009. Imagenet: A large-scale hierarchical image database. In IEEE CVPR, IEEE, 248-255.
    • (2009) IEEE CVPR , pp. 248-255
    • Deng, J.1    Dong, W.2    Socher, R.3    Li, L.-J.4    Li, K.5    Fei-Fei, L.6
  • 16
    • 51949113100 scopus 로고    scopus 로고
    • A discriminatively trained, multiscale, deformable part model
    • IEEE
    • FELZENSZWALB, P., MCALLESTER, D., AND RAMANAN, D. 2008. A discriminatively trained, multiscale, deformable part model. In IEEE CVPR, IEEE, 1-8.
    • (2008) IEEE CVPR , pp. 1-8
    • Felzenszwalb, P.1    McAllester, D.2    Ramanan, D.3
  • 17
    • 84866657270 scopus 로고    scopus 로고
    • Geodesic flow kernel for unsupervised domain adaptation
    • IEEE
    • GONG, B., SHI, Y., SHA, F., AND GRAUMAN, K. 2012. Geodesic flow kernel for unsupervised domain adaptation. In IEEE CVPR, IEEE, 2066-2073.
    • (2012) IEEE CVPR , pp. 2066-2073
    • Gong, B.1    Shi, Y.2    Sha, F.3    Grauman, K.4
  • 18
    • 84887853525 scopus 로고    scopus 로고
    • Fine-grained semi-supervised labeling of large shape collections
    • HUANG, Q.-X., SU, H., AND GUIBAS, L. 2013. Fine-grained semi-supervised labeling of large shape collections. ACM SIGGRAPH Asia 32, 6, 190:1-190:10.
    • (2013) ACM SIGGRAPH Asia , vol.32 , Issue.6 , pp. 190:1-190:10
    • Huang, Q.-X.1    Su, H.2    Guibas, L.3
  • 19
    • 84880769155 scopus 로고    scopus 로고
    • Qualitative organization of collections of shapes via quartet analysis
    • July
    • HUANG, S.-S., SHAMIR, A., SHEN, C.-H., ZHANG, H., SHEFFER, A., HU, S.-M., AND COHEN-OR, D. 2013. Qualitative organization of collections of shapes via quartet analysis. ACM SIGGRAPH 32, 4 (July), 71:1-71:10.
    • (2013) ACM SIGGRAPH , vol.32 , Issue.4 , pp. 71:1-71:10
    • Huang, S.-S.1    Shamir, A.2    Shen, C.-H.3    Zhang, H.4    Sheffer, A.5    Hu, S.-M.6    Cohen-Or, D.7
  • 20
    • 84905749371 scopus 로고    scopus 로고
    • Functional map networks for analyzing and exploring large shape collections
    • HUANG, Q., WANG, F., AND GUIBAS, L. 2014. Functional map networks for analyzing and exploring large shape collections. ACM SIGGRAPH 33, 4, 36:1-36:11.
    • (2014) ACM SIGGRAPH , vol.33 , Issue.4 , pp. 36:1-36:11
    • Huang, Q.1    Wang, F.2    Guibas, L.3
  • 21
    • 77953183471 scopus 로고    scopus 로고
    • What is the best multi-stage architecture for object recognition?
    • JARRETT, K., KAVUKCUOGLU, K., RANZATO, M., AND LECUN, Y. 2009. What is the best multi-stage architecture for object recognition? In IEEE ICCV, 2146-2153.
    • (2009) IEEE ICCV , pp. 2146-2153
    • Jarrett, K.1    Kavukcuoglu, K.2    Ranzato, M.3    LeCun, Y.4
  • 24
    • 84882790559 scopus 로고    scopus 로고
    • Dynamic maps for exploring and browsing shapes
    • KLEIMAN, Y., FISH, N., LANIR, J., AND COHEN-OR, D. 2013. Dynamic maps for exploring and browsing shapes. In Proc. SGP, 187-196.
    • (2013) Proc. SGP , pp. 187-196
    • Kleiman, Y.1    Fish, N.2    Lanir, J.3    Cohen-Or, D.4
  • 25
    • 84876231242 scopus 로고    scopus 로고
    • Imagenet classification with deep convolutional neural networks
    • KRIZHEVSKY, A., SUTSKEVER, I., AND HINTON, G. E. 2012. Imagenet classification with deep convolutional neural networks. In NIPS, 1097-1105.
    • (2012) NIPS , pp. 1097-1105
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.E.3
  • 28
    • 84918825652 scopus 로고    scopus 로고
    • A comparison of 3d shape retrieval methods based on a large-scale benchmark supporting multimodal queries
    • 0
    • LI, B., ET AL. 2015. A comparison of 3d shape retrieval methods based on a large-scale benchmark supporting multimodal queries. Computer Vision and Image Understanding 131, 0, 1-27.
    • (2015) Computer Vision and Image Understanding , vol.131 , pp. 1-27
    • Li, B.1
  • 32
    • 80051890618 scopus 로고    scopus 로고
    • Exploration of continuous variability in collections of 3d shapes
    • ACM
    • OVSJANIKOV, M., LI, W., GUIBAS, L., AND MITRA, N. J. 2011. Exploration of continuous variability in collections of 3d shapes. ACM SIGGRAPH 30, 4, 33:1-33:10.
    • (2011) SIGGRAPH , vol.30 , Issue.4 , pp. 33:1-33:10
    • Ovsjanikov, M.1    Li, W.2    Guibas, L.3    Mitra, N.J.4
  • 34
    • 0003243224 scopus 로고    scopus 로고
    • Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
    • Citeseer
    • PLATT, J. C. 1999. Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods. In Advances in large margin classifiers, Citeseer.
    • (1999) Advances in Large Margin Classifiers
    • Platt, J.C.1
  • 35
    • 84868303855 scopus 로고    scopus 로고
    • Pwp3d: Real-time segmentation and tracking of 3d objects
    • PRISACARIU, V. A., AND REID, I. D. 2012. Pwp3d: Real-time segmentation and tracking of 3d objects. IJCV 98, 3, 335-354.
    • (2012) IJCV , vol.98 , Issue.3 , pp. 335-354
    • Prisacariu, V.A.1    Reid, I.D.2
  • 38
    • 84856648334 scopus 로고    scopus 로고
    • Automatic alignment of paintings and photographs depicting a 3d scene
    • RUSSELL, B. C., SIVIC, J., PONCE, J., AND DESSALES, H. 2011. Automatic alignment of paintings and photographs depicting a 3d scene. In 3dRR ICCV Workshop, 545-552.
    • (2011) 3dRR ICCV Workshop , pp. 545-552
    • Russell, B.C.1    Sivic, J.2    Ponce, J.3    Dessales, H.4
  • 39
    • 0002619965 scopus 로고    scopus 로고
    • Ridge regression learning algorithm in dual variables
    • Morgan Kaufmann
    • SAUNDERS, C., GAMMERMAN, A., AND VOVK, V. 1998. Ridge regression learning algorithm in dual variables. In Proc. ICML, Morgan Kaufmann, 515-521.
    • (1998) Proc. ICML , pp. 515-521
    • Saunders, C.1    Gammerman, A.2    Vovk, V.3
  • 46
    • 84867117593 scopus 로고    scopus 로고
    • Wsabie: Scaling up to large vocabulary image annotation
    • WESTON, J., BENGIO, S., AND USUNIER, N. 2011. Wsabie: Scaling up to large vocabulary image annotation. In Proc. IJCAI.
    • (2011) Proc. IJCAI
    • Weston, J.1    Bengio, S.2    Usunier, N.3
  • 48
    • 80051864492 scopus 로고    scopus 로고
    • Photo-inspired model-driven 3d object modeling
    • XU, K., ZHENG, H., ZHANG, H., COHEN-OR, D., LIU, L., AND XIONG, Y. 2011. Photo-inspired model-driven 3d object modeling. ACM SIGGRAPH 30, 4, 80:1-80:10.
    • (2011) ACM SIGGRAPH , vol.30 , Issue.4 , pp. 80:1-80:10
    • Xu, K.1    Zheng, H.2    Zhang, H.3    Cohen-Or, D.4    Liu, L.5    Xiong, Y.6
  • 49
    • 84905740389 scopus 로고    scopus 로고
    • Organizing heterogeneous scene collection through contextual focal points
    • XU, K., MA, R., ZHANG, H., ZHU, C., SHAMIR, A., COHENOR, D., AND HUANG, H. 2014. Organizing heterogeneous scene collection through contextual focal points. ACM SIGGRAPH 33, 4.
    • (2014) ACM SIGGRAPH , vol.33 , Issue.4
    • Xu, K.1    Ma, R.2    Zhang, H.3    Zhu, C.4    Shamir, A.5    Cohenor, D.6    Huang, H.7
  • 50
    • 84914689261 scopus 로고    scopus 로고
    • Co-constrained handles for deformation in shape collections
    • YUMER, M. E., AND KARA, L. B. 2014. Co-constrained handles for deformation in shape collections. ACM SIGGRAPH Asia.
    • (2014) ACM SIGGRAPH Asia
    • Yumer, M.E.1    Kara, L.B.2
  • 52
    • 84886906128 scopus 로고    scopus 로고
    • Image searchfrom thousands to billions in 20 years
    • ZHANG, L., AND RUI, Y. 2013. Image searchfrom thousands to billions in 20 years. ACM TOMCCAP 9, 1s, 36.
    • (2013) ACM TOMCCAP , vol.9 , Issue.1 , pp. 36
    • Zhang, L.1    Rui, Y.2
  • 53
    • 84905751887 scopus 로고    scopus 로고
    • Averageexplorer: Interactive exploration and alignment of visual data collections
    • ZHU, J.-Y., LEE, Y. J., AND EFROS, A. A. 2014. Averageexplorer: Interactive exploration and alignment of visual data collections. ACM SIGGRAPH 33, 4, 160:1-160:11.
    • (2014) ACM SIGGRAPH , vol.33 , Issue.4 , pp. 160:1-160:11
    • Zhu, J.-Y.1    Lee, Y.J.2    Efros, A.A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.