{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T07:26:54Z","timestamp":1783927614464,"version":"3.55.0"},"publisher-location":"Cham","reference-count":52,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319464831","type":"print"},{"value":"9783319464848","type":"electronic"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-46484-8_38","type":"book-chapter","created":{"date-parts":[[2016,9,16]],"date-time":"2016-09-16T08:35:32Z","timestamp":1474014932000},"page":"628-644","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":940,"title":["3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction"],"prefix":"10.1007","author":[{"given":"Christopher B.","family":"Choy","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Danfei","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"JunYoung","family":"Gwak","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kevin","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Silvio","family":"Savarese","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2016,9,17]]},"reference":[{"key":"38_CR1","unstructured":"OpenMVS: open multi-view stereo reconstruction library (2015). https:\/\/github.com\/cdcseacave\/openMVS . (Accessed 14 Mar 2016)"},{"key":"38_CR2","unstructured":"Cg studio (2016). https:\/\/www.cgstud.io\/ (Accessed 14 Mar 2016)"},{"key":"38_CR3","doi-asserted-by":"crossref","unstructured":"Dosovitskiy, A., Springenberg, J.T., Brox, T.: Learning to generate chairs with convolutional neural networks. In: IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) (2015)","DOI":"10.1109\/CVPR.2015.7298761"},{"key":"38_CR4","doi-asserted-by":"crossref","unstructured":"Agarwal, S., Snavely, N., Simon, I., Seitz, S.M., Szeliski, R.: Building rome in a day. In: 2009 IEEE 12th International Conference on Computer Vision. IEEE (2009)","DOI":"10.1109\/ICCV.2009.5459148"},{"key":"38_CR5","doi-asserted-by":"publisher","unstructured":"Anwar, Z., Ferrie, F.: Towards robust voxel-coloring: handling camera calibration errors and partial emptiness of surface voxels. In: Proceedings of the 18th International Conference on Pattern Recognition, ICPR 2006, vol. 1. IEEE Computer Society, Washington, DC, USA (2006). doi: 10.1109\/ICPR.2006.1129","DOI":"10.1109\/ICPR.2006.1129"},{"key":"38_CR6","doi-asserted-by":"crossref","unstructured":"Bao, Y., Chandraker, M., Lin, Y., Savarese, S.: Dense object reconstruction using semantic priors. In: Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (2013)","DOI":"10.1109\/CVPR.2013.167"},{"issue":"2","key":"38_CR7","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1109\/72.279181","volume":"5","author":"Y Bengio","year":"1994","unstructured":"Bengio, Y., Simard, P., Frasconi, P.: Learning long-term dependencies with gradient descent is difficult. IEEE Trans. Neural Netw. 5(2), 157\u2013166 (1994)","journal-title":"IEEE Trans. Neural Netw."},{"key":"38_CR8","doi-asserted-by":"crossref","unstructured":"Bergstra, J., Breuleux, O., Bastien, F., Lamblin, P., Pascanu, R., Desjardins, G., Turian, J., Warde-Farley, D., Bengio, Y.: Theano: a CPU and GPU math expression compiler. In: Proceedings of the Python for Scientific Computing Conference (SciPy), June 2010","DOI":"10.25080\/Majora-92bf1922-003"},{"issue":"4","key":"38_CR9","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1109\/34.677275","volume":"20","author":"DN Bhat","year":"1998","unstructured":"Bhat, D.N., Nayar, S.K.: Ordinal measures for image correspondence. IEEE Trans. Pattern Anal. Mach. Intell. 20(4), 415\u2013423 (1998)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"9","key":"38_CR10","doi-asserted-by":"publisher","first-page":"1063","DOI":"10.1109\/TPAMI.2003.1227983","volume":"25","author":"V Blanz","year":"2003","unstructured":"Blanz, V., Vetter, T.: Face recognition based on fitting a 3D morphable model. IEEE Trans. Pattern Anal. Mach. Intell. 25(9), 1063\u20131074 (2003)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"38_CR11","doi-asserted-by":"crossref","unstructured":"Bongsoo Choy, C., Stark, M., Corbett-Davies, S., Savarese, S.: Enriching object detection with 2D\u20133D registration and continuous viewpoint estimation. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2015","DOI":"10.1109\/CVPR.2015.7298866"},{"key":"38_CR12","doi-asserted-by":"crossref","unstructured":"Broadhurst, A., Drummond, T.W., Cipolla, R.: A probabilistic framework for space carving. In: Eighth IEEE International Conference on Computer Vision, ICCV 2001, Proceedings, vol. 1. IEEE (2001)","DOI":"10.1109\/ICCV.2001.937544"},{"key":"38_CR13","unstructured":"Chang, A.X., Funkhouser, T., Guibas, L., Hanrahan, P., Huang, Q., Li, Z., Savarese, S., Savva, M., Song, S., Su, H., Xiao, J., Yi, L., Yu, F.: ShapeNet: an information-rich 3D model repository. Technical report, Stanford University, Princeton University, Toyota Technological Institute at Chicago (2015)"},{"key":"38_CR14","doi-asserted-by":"crossref","unstructured":"Cho, K., van Merrienboer, B., Gulcehre, C., Bahdanau, D., Bougares, F., Schwenk, H., Bengio, Y.: Learning phrase representations using RNN encoder-decoder for statistical machine translation. ArXiv e-prints arXiv:1406.1078 (2014)","DOI":"10.3115\/v1\/D14-1179"},{"key":"38_CR15","unstructured":"Choi, S., Zhou, Q.Y., Miller, S., Koltun, V.: A large dataset of object scans. arXiv preprint arXiv:1602.02481 (2016)"},{"key":"38_CR16","doi-asserted-by":"crossref","unstructured":"Dame, A., Prisacariu, V.A., Ren, C.Y., Reid, I.: Dense reconstruction using 3D object shape priors. In: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2013)","DOI":"10.1109\/CVPR.2013.170"},{"key":"38_CR17","first-page":"11:1","volume":"27","author":"D Eigen","year":"2014","unstructured":"Eigen, D., Puhrsch, C., Fergus, R.: Depth map prediction from a single image using a multi-scale deep network. Adv. Neural Inf. Process. Syst. 27, 11:1\u201311:15 (2014)","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"38_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"834","DOI":"10.1007\/978-3-319-10605-2_54","volume-title":"Computer Vision \u2013 ECCV 2014","author":"J Engel","year":"2014","unstructured":"Engel, J., Sch\u00f6ps, T., Cremers, D.: LSD-SLAM: large-scale direct monocular SLAM. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014, Part II. LNCS, vol. 8690, pp. 834\u2013849. Springer, Heidelberg (2014)"},{"key":"38_CR19","unstructured":"Everingham, M., Van Gool, L., Williams, C., Winn, J., Zisserman, A.: The pascal visual object classes challenge 2012 (2011)"},{"key":"38_CR20","doi-asserted-by":"crossref","unstructured":"Firman, M., Mac Aodha, O., Julier, S., Brostow, G.J.: Structured prediction of unobserved voxels from a single depth image. In: CVPR (2016)","DOI":"10.1109\/CVPR.2016.586"},{"key":"38_CR21","unstructured":"Fitzgibbon, A., Zisserman, A.: Automatic 3D model acquisition and generation of new images from video sequences. In: 9th European Signal Processing Conference (EUSIPCO 1998). IEEE (1998)"},{"issue":"1","key":"38_CR22","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1007\/s10462-012-9365-8","volume":"43","author":"J Fuentes-Pacheco","year":"2015","unstructured":"Fuentes-Pacheco, J., Ruiz-Ascencio, J., Rend\u00f3n-Mancha, J.M.: Visual simultaneous localization and mapping: a survey. Artif. Intell. Rev. 43(1), 55\u201381 (2015)","journal-title":"Artif. Intell. Rev."},{"issue":"3","key":"38_CR23","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1023\/B:VISI.0000013093.45070.3b","volume":"57","author":"GG Slabaugh","year":"2004","unstructured":"Slabaugh, G.G., Culbertson, W.B., Malzbender, T., Stevens, M.R., Schafer, R.W.: Methods for volumetric reconstruction of visual scenes. Int. J. Comput. Vis. 57(3), 179\u2013199 (2004)","journal-title":"Int. J. Comput. Vis."},{"issue":"5","key":"38_CR24","first-page":"926","volume":"46","author":"K H\u00e4ming","year":"2010","unstructured":"H\u00e4ming, K., Peters, G.: The structure-from-motion reconstruction pipeline-a survey with focus on short image sequences. Kybernetika 46(5), 926\u2013937 (2010)","journal-title":"Kybernetika"},{"key":"38_CR25","doi-asserted-by":"crossref","unstructured":"H\u00e4ne, C., Savinov, N., Pollefeys, M.: Class specific 3D object shape priors using surface normals. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2014)","DOI":"10.1109\/CVPR.2014.89"},{"key":"38_CR26","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. ArXiv e-prints arXiv:1512.03385 (2015)","DOI":"10.1109\/CVPR.2016.90"},{"key":"38_CR27","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Delving deep into rectifiers: surpassing human-level performance on imagenet classification. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 1026\u20131034 (2015)","DOI":"10.1109\/ICCV.2015.123"},{"issue":"8","key":"38_CR28","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"issue":"3","key":"38_CR29","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1145\/1073204.1073232","volume":"24","author":"D Hoiem","year":"2005","unstructured":"Hoiem, D., Efros, A.A., Hebert, M.: Automatic photo pop-up. ACM Trans. Graph. (TOG) 24(3), 577\u2013584 (2005)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"38_CR30","doi-asserted-by":"crossref","unstructured":"Kar, A., Tulsiani, S., Carreira, J., Malik, J.: Category-specific object reconstruction from a single image. In: 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE (2015)","DOI":"10.1109\/CVPR.2015.7298807"},{"issue":"2","key":"38_CR31","doi-asserted-by":"publisher","first-page":"394","DOI":"10.1109\/TPAMI.2010.63","volume":"33","author":"I Kemelmacher-Shlizerman","year":"2011","unstructured":"Kemelmacher-Shlizerman, I., Basri, R.: 3D face reconstruction from a single image using a single reference face shape. IEEE Trans. Pattern Anal. Mach. Intell. 33(2), 394\u2013405 (2011)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"38_CR32","unstructured":"Kingma, D., Ba, J.: Adam: a method for stochastic optimization. ArXiv e-prints arXiv:1412.6980 (2014)"},{"issue":"3","key":"38_CR33","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1023\/A:1008191222954","volume":"38","author":"KN Kutulakos","year":"2000","unstructured":"Kutulakos, K.N., Seitz, S.M.: A theory of shape by space carving. Int. J. Comput. Vis. 38(3), 199\u2013218 (2000)","journal-title":"Int. J. Comput. Vis."},{"key":"38_CR34","unstructured":"Lawrence, G.R.: Machine perception of three-dimensional solids. Ph.D. thesis (1963)"},{"issue":"3","key":"38_CR35","doi-asserted-by":"publisher","first-page":"418","DOI":"10.1109\/TPAMI.2005.44","volume":"27","author":"M Lhuillier","year":"2005","unstructured":"Lhuillier, M., Quan, L.: A quasi-dense approach to surface reconstruction from uncalibrated images. IEEE Trans. Pattern Anal. Mach. Intell. 27(3), 418\u2013433 (2005)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"38_CR36","doi-asserted-by":"crossref","unstructured":"Liu, F., Shen, C., Lin, G.: Deep convolutional neural fields for depth estimation from a single image. In: Proceedings of IEEE Conference Computer Vision and Pattern Recognition (2015)","DOI":"10.1109\/CVPR.2015.7299152"},{"issue":"2","key":"38_CR37","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1023\/B:VISI.0000029664.99615.94","volume":"60","author":"DG Lowe","year":"2004","unstructured":"Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comp. Vis. 60(2), 145\u2013166 (2004)","journal-title":"Int. J. Comp. Vis."},{"issue":"1","key":"38_CR38","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1007\/s11263-007-0043-2","volume":"75","author":"I Matthews","year":"2007","unstructured":"Matthews, I., Xiao, J., Baker, S.: 2D vs. 3D deformable face models: representational power, construction, and real-time fitting. Int. J. Comput. Vis. 75(1), 93\u2013113 (2007)","journal-title":"Int. J. Comput. Vis."},{"issue":"1","key":"38_CR39","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1016\/0004-3702(77)90006-6","volume":"8","author":"R Nevatia","year":"1977","unstructured":"Nevatia, R., Binford, T.O.: Description and recognition of curved objects. Artif. Intell. 8(1), 77\u201398 (1977)","journal-title":"Artif. Intell."},{"key":"38_CR40","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"593","DOI":"10.1007\/978-3-642-37331-2_45","volume-title":"Computer Vision \u2013 ACCV 2012","author":"VA Prisacariu","year":"2013","unstructured":"Prisacariu, V.A., Segal, A.V., Reid, I.: Simultaneous monocular 2D segmentation, 3D pose recovery and 3D reconstruction. In: Lee, K.M., Matsushita, Y., Rehg, J.M., Hu, Z. (eds.) ACCV 2012, Part I. LNCS, vol. 7724, pp. 593\u2013606. Springer, Heidelberg (2013)"},{"key":"38_CR41","doi-asserted-by":"crossref","unstructured":"Rock, J., Gupta, T., Thorsen, J., Gwak, J., Shin, D., Hoiem, D.: Completing 3D object shape from one depth image. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2015)","DOI":"10.1109\/CVPR.2015.7298863"},{"issue":"6","key":"38_CR42","doi-asserted-by":"publisher","first-page":"1098","DOI":"10.1109\/TPAMI.2010.162","volume":"33","author":"R Sandhu","year":"2011","unstructured":"Sandhu, R., Dambreville, S., Yezzi, A., Tannenbaum, A.: A nonrigid kernel-based framework for 2D\u20133D pose estimation and 2D image segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 33(6), 1098\u20131115 (2011)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"38_CR43","doi-asserted-by":"crossref","unstructured":"Saponaro, P., Sorensen, S., Rhein, S., Mahoney, A.R., Kambhamettu, C.: Reconstruction of textureless regions using structure from motion and image-based interpolation. In: 2014 IEEE International Conference on Image Processing (ICIP). IEEE (2014)","DOI":"10.1109\/ICIP.2014.7025370"},{"issue":"5","key":"38_CR44","doi-asserted-by":"publisher","first-page":"824","DOI":"10.1109\/TPAMI.2008.132","volume":"31","author":"A Saxena","year":"2009","unstructured":"Saxena, A., Sun, M., Ng, A.Y.: Make3D: learning 3D scene structure from a single still image. IEEE Trans. Pattern Anal. Mach. Intell. 31(5), 824\u2013840 (2009)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"2","key":"38_CR45","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1023\/A:1008176507526","volume":"35","author":"SM Seitz","year":"1999","unstructured":"Seitz, S.M., Dyer, C.R.: Photorealistic scene reconstruction by voxel coloring. Int. J. Comput. Vis. 35(2), 151\u2013173 (1999)","journal-title":"Int. J. Comput. Vis."},{"key":"38_CR46","doi-asserted-by":"crossref","unstructured":"Song, H.O., Xiang, Y., Jegelka, S., Savarese, S.: Deep metric learning via lifted structured feature embedding. ArXiv e-prints arXiv:1511.06452 (2015)","DOI":"10.1109\/CVPR.2016.434"},{"issue":"4","key":"38_CR47","first-page":"1","volume":"33","author":"Hao Su","year":"2014","unstructured":"Su, H., Huang, Q., Mitra, N.J., Li, Y., Guibas, L.: Estimating image depth using shape collections. ACM Trans. Graph. 33(4) (2014). Article No. 37 http:\/\/dl.acm.org\/citation.cfm?id=2601159","journal-title":"ACM Transactions on Graphics"},{"key":"38_CR48","doi-asserted-by":"crossref","unstructured":"Sundermeyer, M., Schl\u00fcter, R., Ney, H.: LSTM neural networks for language modeling. In: INTERSPEECH (2012)","DOI":"10.21437\/Interspeech.2012-65"},{"key":"38_CR49","unstructured":"Sutskever, I., Vinyals, O., Le, Q.V.: Sequence to sequence learning with neural networks. In: Advances in Neural Information Processing Systems (2014)"},{"key":"38_CR50","doi-asserted-by":"crossref","unstructured":"Vicente, S., Carreira, J., Agapito, L., Batista, J.: Reconstructing PASCAL VOC. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2014)","DOI":"10.1109\/CVPR.2014.13"},{"key":"38_CR51","doi-asserted-by":"crossref","unstructured":"Xiang, Y., Mottaghi, R., Savarese, S.: Beyond pascal: A benchmark for 3D object detection in the wild. In: 2014 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE (2014)","DOI":"10.1109\/WACV.2014.6836101"},{"key":"38_CR52","doi-asserted-by":"crossref","unstructured":"Zia, M.Z., Stark, M., Schiele, B., Schindler, K.: Detailed 3D representations for object modeling and recognition. In: TPAMI (2013)","DOI":"10.1109\/TPAMI.2013.87"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2016"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-46484-8_38","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,10]],"date-time":"2025-06-10T19:14:55Z","timestamp":1749582895000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-46484-8_38"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319464831","9783319464848"],"references-count":52,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-46484-8_38","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"17 September 2016","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Amsterdam","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"The Netherlands","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 October 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 October 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.eccv2016.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}