{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:48:08Z","timestamp":1742914088741,"version":"3.40.3"},"publisher-location":"Cham","reference-count":32,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031590566"},{"type":"electronic","value":"9783031590573"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-59057-3_13","type":"book-chapter","created":{"date-parts":[[2024,5,7]],"date-time":"2024-05-07T22:02:19Z","timestamp":1715119339000},"page":"193-209","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Quality-Based Criteria for\u00a0Efficient View Selection"],"prefix":"10.1007","author":[{"given":"R\u00e9my","family":"Alcouffe","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8104-1637","authenticated-orcid":false,"given":"Sylvie","family":"Chambon","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0925-3277","authenticated-orcid":false,"given":"G\u00e9raldine","family":"Morin","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8239-8005","authenticated-orcid":false,"given":"Simone","family":"Gasparini","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,5,8]]},"reference":[{"doi-asserted-by":"publisher","unstructured":"Alcouffe, R., Gasparini, S., Morin, G., Chambon, S.: Blind quality of a 3D reconstructed mesh. In: 29th IEEE International Conference on Image Processing (ICIP 2022), pp. 3406\u20133410. IEEE, Bordeaux (2022). https:\/\/doi.org\/10.1109\/ICIP46576.2022.9897783","key":"13_CR1","DOI":"10.1109\/ICIP46576.2022.9897783"},{"doi-asserted-by":"publisher","unstructured":"Almadhoun, R., Abduldayem, A., Taha, T., Seneviratne, L., Zweiri, Y.: Guided next best view for 3D reconstruction of large complex structures. Remote Sens. 11(20), 2440 (2019) https:\/\/doi.org\/10.3390\/rs11202440, https:\/\/www.mdpi.com\/2072-4292\/11\/20\/2440","key":"13_CR2","DOI":"10.3390\/rs11202440"},{"issue":"3","key":"13_CR3","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1016\/0734-189x(84)90035-5","volume":"27","author":"G Borgefors","year":"1984","unstructured":"Borgefors, G.: Distance transformations in arbitrary dimensions. Comput. Vision Graph. Image Process. 27(3), 321\u2013345 (1984). https:\/\/doi.org\/10.1016\/0734-189x(84)90035-5","journal-title":"Comput. Vision Graph. Image Process."},{"unstructured":"Community, B.O.: Blender - a 3D modelling and rendering package (2018). http:\/\/www.blender.org","key":"13_CR4"},{"doi-asserted-by":"crossref","unstructured":"Connolly, C.: The determination of next best views. In: IEEE International Conference on Robotics and Automation, ICRA, vol.\u00a02, pp. 432\u2013435 (1985)","key":"13_CR5","DOI":"10.1109\/ROBOT.1985.1087372"},{"key":"13_CR6","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2017.2660769","author":"J Daudelin","year":"2017","unstructured":"Daudelin, J., Campbell, M.: An adaptable, probabilistic, next-best view algorithm for reconstruction of unknown 3-D objects. IEEE Robot. Autom. Lett. (2017). https:\/\/doi.org\/10.1109\/LRA.2017.2660769","journal-title":"IEEE Robot. Autom. Lett."},{"doi-asserted-by":"publisher","unstructured":"Dunn, E., Frahm, J.M.: Next best view planning for active model improvement. In: British Machine Vision Conference, BMVC (2009). https:\/\/doi.org\/10.5244\/C.23.53","key":"13_CR7","DOI":"10.5244\/C.23.53"},{"key":"13_CR8","doi-asserted-by":"publisher","DOI":"10.1007\/s10846-018-0798-4","author":"M Faria","year":"2019","unstructured":"Faria, M., Maza, I., Viguria, A.: Applying frontier cells based exploration and lazy Theta* path planning over single grid-based world representation for autonomous inspection of large 3D structures with an UAS. J. Intell. Robot. Syst. (2019). https:\/\/doi.org\/10.1007\/s10846-018-0798-4","journal-title":"J. Intell. Robot. Syst."},{"doi-asserted-by":"publisher","unstructured":"Griwodz, C., et al.: AliceVision meshroom: an open-source 3D reconstruction pipeline. In: ACM Multimedia Systems Conference, pp. 241-247 (2021). https:\/\/doi.org\/10.1145\/3458305.3478443","key":"13_CR9","DOI":"10.1145\/3458305.3478443"},{"key":"13_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"545","DOI":"10.1007\/978-3-642-33709-3_39","volume-title":"Computer Vision \u2013 ECCV 2012","author":"S Haner","year":"2012","unstructured":"Haner, S., Heyden, A.: Covariance propagation and next best view planning for 3D reconstruction. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012. LNCS, vol. 7573, pp. 545\u2013556. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-33709-3_39"},{"unstructured":"Hausdorff, F.: Set Theory, 2nd edn. Chelsea Publishing Company (1962)","key":"13_CR11"},{"issue":"6","key":"13_CR12","doi-asserted-by":"publisher","first-page":"1435","DOI":"10.1016\/j.sigpro.2012.05.004","volume":"93","author":"C Jun","year":"2013","unstructured":"Jun, C., Shiguang, Z., Xinyu, W.: Structured light-based shape measurement system. Signal Process. 93(6), 1435\u20131444 (2013)","journal-title":"Signal Process."},{"key":"13_CR13","doi-asserted-by":"publisher","first-page":"1427","DOI":"10.1111\/j.1467-8659.2011.02017.x","volume":"30","author":"G Lavou\u00e9","year":"2011","unstructured":"Lavou\u00e9, G.: A multiscale metric for 3D mesh visual quality assessment. Comput. Graph. Forum 30, 1427\u20131437 (2011). https:\/\/doi.org\/10.1111\/j.1467-8659.2011.02017.x","journal-title":"Comput. Graph. Forum"},{"doi-asserted-by":"publisher","unstructured":"Lavou\u00e9, G., Drelie\u00a0Gelasca, E., Dupont, F., Baskurt, A., Ebrahimi, T.: Perceptually driven 3D distance metrics with application to watermarking. In: SPIE Optics + Photonics, p. 63120L (2006). https:\/\/doi.org\/10.1117\/12.686964","key":"13_CR14","DOI":"10.1117\/12.686964"},{"key":"13_CR15","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2020.2980161","author":"I Lee","year":"2020","unstructured":"Lee, I., Seo, J., Kim, Y., Choi, J., Han, S., Yoo, B.: Automatic pose generation for robotic 3-D scanning of mechanical parts. IEEE Trans. Rob. (2020). https:\/\/doi.org\/10.1109\/TRO.2020.2980161","journal-title":"IEEE Trans. Rob."},{"doi-asserted-by":"publisher","unstructured":"Li, Y., He, B., Bao, P.: Automatic view planning with self-termination in 3D object reconstructions. Sens. Actuat. A: Phys. 122(2) (2005). https:\/\/doi.org\/10.1016\/j.sna.2005.06.003","key":"13_CR16","DOI":"10.1016\/j.sna.2005.06.003"},{"doi-asserted-by":"publisher","unstructured":"Massios, N.A., Fisher, R.B.: A best next view selection algorithm incorporating a quality criterion. In: British Machine Vision Conference, BMVC (1998). https:\/\/doi.org\/10.5244\/C.12.78","key":"13_CR17","DOI":"10.5244\/C.12.78"},{"doi-asserted-by":"publisher","unstructured":"Maver, J., Bajcsy, R.: Occlusions as a guide for planning the next view. IEEE Trans. Pattern Anal. Mach. Intell. PAMI (1993). https:\/\/doi.org\/10.1109\/34.211463","key":"13_CR18","DOI":"10.1109\/34.211463"},{"doi-asserted-by":"publisher","unstructured":"Mendez, O., Hadfield, S., Pugeault, N., Bowden, R.: Next-best stereo: extending next-best view optimisation for collaborative sensors. In: British Machine Vision Conference, BMVC (2016). https:\/\/doi.org\/10.5244\/C.30.65","key":"13_CR19","DOI":"10.5244\/C.30.65"},{"doi-asserted-by":"publisher","unstructured":"Meynet, G., Digne, J., Lavou\u00e9, G.: PC-MSDM: a quality metric for 3D point clouds. In: International Conference on Quality of Multimedia Experience, QoMEX (2019). https:\/\/doi.org\/10.1109\/QoMEX.2019.8743313","key":"13_CR20","DOI":"10.1109\/QoMEX.2019.8743313"},{"doi-asserted-by":"publisher","unstructured":"Mortezapoor, S., Sch\u00f6nauer, C., R\u00fcggeberg, J., Kaufmann, H.: Photogrammabot: an autonomous ROS-based mobile photography robot for precise 3D reconstruction and mapping of large indoor spaces for mixed reality. In: IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW (2022). https:\/\/doi.org\/10.1109\/VRW55335.2022.00033","key":"13_CR21","DOI":"10.1109\/VRW55335.2022.00033"},{"doi-asserted-by":"publisher","unstructured":"Nehm\u00e9, Y., Dupont, F., Farrugia, J., Le Callet, P., Lavou\u00e9, G.: Textured mesh quality assessment: large-scale dataset and deep learning-based quality metric. ACM Trans. Graph. (2023). https:\/\/doi.org\/10.1145\/3592786","key":"13_CR22","DOI":"10.1145\/3592786"},{"key":"13_CR23","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3132430","author":"S Pan","year":"2022","unstructured":"Pan, S., Wei, H.: A global max-flow-based multi-resolution next-best-view method for reconstruction of 3D unknown objects. IEEE Robot. Autom. Lett. (2022). https:\/\/doi.org\/10.1109\/LRA.2021.3132430","journal-title":"IEEE Robot. Autom. Lett."},{"doi-asserted-by":"publisher","unstructured":"Rodr\u00edguez-Cuenca, B., Garc\u00eda-Cort\u00e9s, S., Ord\u00f3\u00f1ez, C., Alonso, M.C.: A study of the roughness and curvature in 3D point clouds to extract vertical and horizontal surfaces. In: IEEE International Geoscience and Remote Sensing Symposium, IGARSS, pp. 4602\u20134605 (2015). https:\/\/doi.org\/10.1109\/IGARSS.2015.7326853","key":"13_CR24","DOI":"10.1109\/IGARSS.2015.7326853"},{"doi-asserted-by":"publisher","unstructured":"Roldao, L., de\u00a0Charette, R., Verroust-Blondet, A.: 3D surface reconstruction from voxel-based lidar data. In: IEEE Intelligent Transportation Systems Conference, ITSC, pp. 2681\u20132686 (2019). https:\/\/doi.org\/10.1109\/ITSC.2019.8916881","key":"13_CR25","DOI":"10.1109\/ITSC.2019.8916881"},{"doi-asserted-by":"crossref","unstructured":"Schonberger, J.L., Frahm, J.M.: Structure-from-motion revisited. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR (2016)","key":"13_CR26","DOI":"10.1109\/CVPR.2016.445"},{"doi-asserted-by":"crossref","unstructured":"Seitz, S.M., Curless, B., Diebel, J., Scharstein, D., Szeliski, R.: A comparison and evaluation of multi-view stereo reconstruction algorithms. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR, pp. 519\u2013528 (2006)","key":"13_CR27","DOI":"10.1109\/CVPR.2006.19"},{"key":"13_CR28","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2897343","author":"M Selin","year":"2019","unstructured":"Selin, M., Tiger, M., Duberg, D., Heintz, F., Jensfelt, P.: Efficient autonomous exploration planning of large-scale 3-D environments. IEEE Robot. Autom. Lett. (2019). https:\/\/doi.org\/10.1109\/LRA.2019.2897343","journal-title":"IEEE Robot. Autom. Lett."},{"issue":"1","key":"13_CR29","doi-asserted-by":"publisher","first-page":"4984","DOI":"10.1038\/s41467-019-12943-7","volume":"10","author":"J Tachella","year":"2019","unstructured":"Tachella, J., et al.: Real-time 3D reconstruction from single-photon lidar data using plug-and-play point cloud denoisers. Nat. Commun. 10(1), 4984 (2019). https:\/\/doi.org\/10.1038\/s41467-019-12943-7","journal-title":"Nat. Commun."},{"doi-asserted-by":"crossref","unstructured":"Tingdahl, D., Van\u00a0Gool, L.: A public system for image based 3D model generation. In: International Conference on Computer Vision\/Computer Graphics Collaboration Techniques and Applications, MIRAGE, vol. 6930\/2011, pp. 262\u2013273 (2011)","key":"13_CR30","DOI":"10.1007\/978-3-642-24136-9_23"},{"issue":"5","key":"13_CR31","doi-asserted-by":"publisher","first-page":"1715","DOI":"10.1111\/j.1467-8659.2012.03176.x","volume":"31","author":"L V\u00e1\u0161a","year":"2012","unstructured":"V\u00e1\u0161a, L., Rus, J.: Dihedral angle mesh error: a fast perception correlated distortion measure for fixed connectivity triangle meshes. Comput. Graph. Forum 31(5), 1715\u20131724 (2012)","journal-title":"Comput. Graph. Forum"},{"doi-asserted-by":"publisher","unstructured":"Wenhardt, S., Deutsch, B., Angelopoulou, E., Niemann, H.: Active visual object reconstruction using d-, e-, and t-optimal next best views. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR (2007). https:\/\/doi.org\/10.1109\/CVPR.2007.383363","key":"13_CR32","DOI":"10.1109\/CVPR.2007.383363"}],"container-title":["Communications in Computer and Information Science","Robotics, Computer Vision and Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-59057-3_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,18]],"date-time":"2024-11-18T06:58:34Z","timestamp":1731913114000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-59057-3_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031590566","9783031590573"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-59057-3_13","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"8 May 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ROBOVIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Robotics, Computer Vision and Intelligent Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Rome","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","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":"25 February 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 February 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"robovis2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/robovis.scitevents.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}