{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T10:38:54Z","timestamp":1743071934772,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":36,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819609680"},{"type":"electronic","value":"9789819609697"}],"license":[{"start":{"date-parts":[[2024,12,8]],"date-time":"2024-12-08T00:00:00Z","timestamp":1733616000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,8]],"date-time":"2024-12-08T00:00:00Z","timestamp":1733616000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-981-96-0969-7_10","type":"book-chapter","created":{"date-parts":[[2024,12,7]],"date-time":"2024-12-07T12:55:25Z","timestamp":1733576125000},"page":"158-174","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Multiple Active Stereo Systems Calibration Method Based on\u00a0Neural SDF Using DSSS for\u00a0Wide Area 3D Reconstruction"],"prefix":"10.1007","author":[{"given":"Kota","family":"Nishihara","sequence":"first","affiliation":[]},{"given":"Ryo","family":"Furukawa","sequence":"additional","affiliation":[]},{"given":"Ryusuke","family":"Sagawa","sequence":"additional","affiliation":[]},{"given":"Hiroshi","family":"Kawasaki","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,12,8]]},"reference":[{"issue":"2","key":"10_CR1","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1109\/34.121791","volume":"14","author":"PJ Besl","year":"1992","unstructured":"Besl, P.J., McKay, N.D.: A method for registration of 3-d shapes. IEEE Trans. Pattern Anal. Mach. Intell. 14(2), 239\u2013256 (1992). https:\/\/doi.org\/10.1109\/34.121791","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"1","key":"10_CR2","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1117\/1.1631921","volume":"13","author":"F Blais","year":"2004","unstructured":"Blais, F.: Review of 20 years of range sensor development. J. Electron. Imaging 13(1), 231\u2013243 (2004)","journal-title":"J. Electron. Imaging"},{"key":"10_CR3","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1016\/j.cmpb.2018.02.006","volume":"158","author":"L Chen","year":"2018","unstructured":"Chen, L., Tang, W., John, N.W., Wan, T.R., Zhang, J.J.: Slam-based dense surface reconstruction in monocular minimally invasive surgery and its application to augmented reality. Comput. Methods Programs Biomed. 158, 135\u2013146 (2018)","journal-title":"Comput. Methods Programs Biomed."},{"doi-asserted-by":"publisher","unstructured":"DeTone, D., Malisiewicz, T., Rabinovich, A.: Superpoint: Self-supervised interest point detection and description. In: 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). pp. 337\u201333712 (2018). https:\/\/doi.org\/10.1109\/CVPRW.2018.00060","key":"10_CR4","DOI":"10.1109\/CVPRW.2018.00060"},{"doi-asserted-by":"crossref","unstructured":"Furukawa, R., Mikamo, M., Sagawa, R., Kawasaki, H.: Single-shot dense active stereo with pixel-wise phase estimation based on grid-structure using cnn and correspondence estimation using gcn. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV). pp. 4001\u20134011 (January 2022)","key":"10_CR5","DOI":"10.1109\/WACV51458.2022.00032"},{"doi-asserted-by":"crossref","unstructured":"Furukawa, R., Oka, S., Kotachi, T., Okamoto, Y., Tanaka, S., Sagawa, R., Kawasaki, H.: Fully auto-calibrated active-stereo-based 3d endoscopic system using correspondence estimation with graph convolutional network. In: EMBC. pp. 4357\u20134360. IEEE (2020)","key":"10_CR6","DOI":"10.1109\/EMBC44109.2020.9176417"},{"doi-asserted-by":"publisher","unstructured":"Golomb, S.W., Gong, G.: Signal Design for Good Correlation: For Wireless Communication, Cryptography, and Radar. Cambridge University Press. https:\/\/doi.org\/10.1017\/CBO9780511546907","key":"10_CR7","DOI":"10.1017\/CBO9780511546907"},{"unstructured":"Gropp, A., Yariv, L., Haim, N., Atzmon, M., Lipman, Y.: Implicit geometric regularization for learning shapes. arXiv preprint arXiv:2002.10099 (2020)","key":"10_CR8"},{"unstructured":"Henderson, P., Ferrari, V.: Learning to generate and reconstruct 3d meshes with only 2d supervision. arXiv preprint arXiv:1807.09259 (2018)","key":"10_CR9"},{"doi-asserted-by":"crossref","unstructured":"Ikeuchi, K., Matsushita, Y., Sagawa, R., Miyazaki, D., Mukaigawa, Y., Furukawa, R., Kawasaki, H.: Active Lighting and Its Application for Computer Vision \u201340 Years of History of Active Lighting Techniques\u2013. Springer (2020)","key":"10_CR10","DOI":"10.1007\/978-3-030-56577-0"},{"doi-asserted-by":"crossref","unstructured":"Kato, H., Ushiku, Y., Harada, T.: Neural 3d mesh renderer. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 3907\u20133916 (2018)","key":"10_CR11","DOI":"10.1109\/CVPR.2018.00411"},{"doi-asserted-by":"crossref","unstructured":"Kawasaki, H., Furukawa, R., Sagawa, R., Yagi, Y.: Dynamic scene shape reconstruction using a single structured light pattern. In: CVPR. pp.\u00a01\u20138. Ieee (2008)","key":"10_CR12","DOI":"10.1109\/CVPR.2008.4587702"},{"issue":"1","key":"10_CR13","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1109\/TRO.2020.3020739","volume":"37","author":"J Lamarca","year":"2020","unstructured":"Lamarca, J., Parashar, S., Bartoli, A., Montiel, J.: Defslam: Tracking and mapping of deforming scenes from monocular sequences. IEEE Trans. Rob. 37(1), 291\u2013303 (2020)","journal-title":"IEEE Trans. Rob."},{"issue":"10","key":"10_CR14","doi-asserted-by":"publisher","first-page":"2185","DOI":"10.1109\/TMI.2018.2833868","volume":"37","author":"S Leonard","year":"2018","unstructured":"Leonard, S., Sinha, A., Reiter, A., Ishii, M., Gallia, G.L., Taylor, R.H., Hager, G.D.: Evaluation and stability analysis of video-based navigation system for functional endoscopic sinus surgery on in vivo clinical data. IEEE Trans. Med. Imaging 37(10), 2185\u20132195 (2018)","journal-title":"IEEE Trans. Med. Imaging"},{"doi-asserted-by":"crossref","unstructured":"Liao, J., Cai, L.: A calibration method for uncoupling projector and camera of a structured light system. In: 2008 IEEE\/ASME International Conference on Advanced Intelligent Mechatronics. pp. 770\u2013774. IEEE (2008)","key":"10_CR15","DOI":"10.1109\/AIM.2008.4601757"},{"issue":"6","key":"10_CR16","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1145\/3272127.3275047","volume":"37","author":"HTD Liu","year":"2018","unstructured":"Liu, H.T.D., Tao, M., Jacobson, A.: Paparazzi: surface editing by way of multi-view image processing. ACM Trans. Graph. 37(6), 221\u20131 (2018)","journal-title":"ACM Trans. Graph."},{"issue":"1","key":"10_CR17","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1109\/TMI.2018.2856109","volume":"38","author":"N Mahmoud","year":"2018","unstructured":"Mahmoud, N., Collins, T., Hostettler, A., Soler, L., Doignon, C., Montiel, J.M.M.: Live tracking and dense reconstruction for handheld monocular endoscopy. IEEE Trans. Med. Imaging 38(1), 79\u201389 (2018)","journal-title":"IEEE Trans. Med. Imaging"},{"doi-asserted-by":"publisher","unstructured":"Matsuda, N., Cossairt, O., Gupta, M.: Mc3d: Motion contrast 3d scanning. In: 2015 IEEE International Conference on Computational Photography (ICCP). pp. 1\u201310 (2015). https:\/\/doi.org\/10.1109\/ICCPHOT.2015.7168370","key":"10_CR18","DOI":"10.1109\/ICCPHOT.2015.7168370"},{"unstructured":"Microsoft: Xbox 360 Kinect (2010), https:\/\/en.wikipedia.org\/wiki\/Kinect","key":"10_CR19"},{"unstructured":"Microsoft: Azure Kinect, (2020), https:\/\/en.wikipedia.org\/wiki\/Azure_Kinect","key":"10_CR20"},{"doi-asserted-by":"publisher","unstructured":"Mikamo, M., Furukawa, R., Oka, S., Kotachi, T., Okamoto, Y., Tanaka, S., Sagawa, R., Kawasaki, H.: Active stereo method for 3d endoscopes using deep-layer gcn and graph representation with proximity information. In: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC). pp. 7551\u20137555 (2021). https:\/\/doi.org\/10.1109\/EMBC46164.2021.9629696","key":"10_CR21","DOI":"10.1109\/EMBC46164.2021.9629696"},{"issue":"1","key":"10_CR22","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1145\/3503250","volume":"65","author":"B Mildenhall","year":"2021","unstructured":"Mildenhall, B., Srinivasan, P.P., Tancik, M., Barron, J.T., Ramamoorthi, R., Ng, R.: Nerf: Representing scenes as neural radiance fields for view synthesis. Commun. ACM 65(1), 99\u2013106 (2021)","journal-title":"Commun. ACM"},{"issue":"4","key":"10_CR23","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3528223.3530127","volume":"41","author":"T M\u00fcller","year":"2022","unstructured":"M\u00fcller, T., Evans, A., Schied, C., Keller, A.: Instant neural graphics primitives with a multiresolution hash encoding. ACM Transactions on Graphics (ToG) 41(4), 1\u201315 (2022)","journal-title":"ACM Transactions on Graphics (ToG)"},{"doi-asserted-by":"crossref","unstructured":"Newcombe, R., Izadi, S., Hilliges, O., Molyneaux, D., Kim, D., Davison, A., Kohli, P., Shotton, J., Hodges, S., Fitzgibbon, A.: Kinectfusion: Real-time dense surface mapping and tracking. In: IEEEISMAR (2011)","key":"10_CR24","DOI":"10.1109\/ISMAR.2011.6162880"},{"doi-asserted-by":"crossref","unstructured":"Palazzi, A., Bergamini, L., Calderara, S., Cucchiara, R.: End-to-end 6-dof object pose estimation through differentiable rasterization. In: Proceedings of the European Conference on Computer Vision (ECCV) Workshops. pp.\u00a00\u20130 (2018)","key":"10_CR25","DOI":"10.1007\/978-3-030-11015-4_53"},{"doi-asserted-by":"crossref","unstructured":"Proesmans, M., Van\u00a0Gool, L.: One-shot 3d-shape and texture acquisition of facial data. In: Audio-and Video-based Biometric Person Authentication. pp. 411\u2013418. Springer (1997)","key":"10_CR26","DOI":"10.1007\/BFb0016022"},{"doi-asserted-by":"crossref","unstructured":"Sarlin, P.E., DeTone, D., Malisiewicz, T., Rabinovich, A.: SuperGlue: Learning feature matching with graph neural networks. In: CVPR (2020)","key":"10_CR27","DOI":"10.1109\/CVPR42600.2020.00499"},{"issue":"4","key":"10_CR28","doi-asserted-by":"publisher","first-page":"4068","DOI":"10.1109\/LRA.2018.2856519","volume":"3","author":"J Song","year":"2018","unstructured":"Song, J., Wang, J., Zhao, L., Huang, S., Dissanayake, G.: Mis-slam: Real-time large-scale dense deformable slam system in minimal invasive surgery based on heterogeneous computing. IEEE Robotics and Automation Letters 3(4), 4068\u20134075 (2018)","journal-title":"IEEE Robotics and Automation Letters"},{"doi-asserted-by":"crossref","unstructured":"Ulusoy, A.O., Calakli, F., Taubin, G.: One-shot scanning using de bruijn spaced grids. In: ICCV Workshops. pp. 1786\u20131792. IEEE (2009)","key":"10_CR29","DOI":"10.1109\/ICCVW.2009.5457499"},{"unstructured":"Wang, P., Liu, L., Liu, Y., Theobalt, C., Komura, T., Wang, W.: Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction. NeurIPS (2021)","key":"10_CR30"},{"doi-asserted-by":"publisher","unstructured":"Willomitzer, F., H\u00e4usler, G.: Single-shot 3d motion picture camera with a dense point cloud. Opt. Express 25(19), 23451\u201323464 (Sep 2017). https:\/\/doi.org\/10.1364\/OE.25.023451, https:\/\/opg.optica.org\/oe\/abstract.cfm?URI=oe-25-19-23451","key":"10_CR31","DOI":"10.1364\/OE.25.023451"},{"doi-asserted-by":"crossref","unstructured":"Yamauchi, K., Saito, H., Sato, Y.: Calibration of a structured light system by observing planar object from unknown viewpoints. In: ICPR. pp.\u00a01\u20134. IEEE (2008)","key":"10_CR32","DOI":"10.1109\/ICPR.2008.4761303"},{"doi-asserted-by":"crossref","unstructured":"Yamazaki, S., Mochimaru, M., Kanade, T.: Simultaneous self-calibration of a projector and a camera using structured light. In: CVPR Workshop on Projector-Camera Systems (ProCams). pp. 60\u201367. IEEE (2011)","key":"10_CR33","DOI":"10.1109\/CVPRW.2011.5981781"},{"doi-asserted-by":"crossref","unstructured":"Zagoruyko, S., Komodakis, N.: Learning to compare image patches via convolutional neural networks. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 4353\u20134361 (2015)","key":"10_CR34","DOI":"10.1109\/CVPR.2015.7299064"},{"issue":"1","key":"10_CR35","first-page":"2287","volume":"17","author":"J \u017dbontar","year":"2016","unstructured":"\u017dbontar, J., LeCun, Y.: Stereo matching by training a convolutional neural network to compare image patches. The journal of machine learning research 17(1), 2287\u20132318 (2016)","journal-title":"The journal of machine learning research"},{"doi-asserted-by":"crossref","unstructured":"Zhou, H., Jayender, J.: Emdq-slam: Real-time high-resolution reconstruction of soft tissue surface from stereo laparoscopy videos. In: MICCAI. pp. 331\u2013340. Springer (2021)","key":"10_CR36","DOI":"10.1007\/978-3-030-87202-1_32"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ACCV 2024"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-0969-7_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,7]],"date-time":"2024-12-07T13:03:48Z","timestamp":1733576628000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-0969-7_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,8]]},"ISBN":["9789819609680","9789819609697"],"references-count":36,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-0969-7_10","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,12,8]]},"assertion":[{"value":"8 December 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ACCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Asian Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hanoi","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vietnam","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"accv2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}