{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T13:52:27Z","timestamp":1780408347843,"version":"3.54.1"},"reference-count":20,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2014,9,11]],"date-time":"2014-09-11T00:00:00Z","timestamp":1410393600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Intel Serv Robotics"],"published-print":{"date-parts":[[2014,10]]},"DOI":"10.1007\/s11370-014-0159-5","type":"journal-article","created":{"date-parts":[[2014,9,10]],"date-time":"2014-09-10T20:04:14Z","timestamp":1410379454000},"page":"211-220","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":32,"title":["Using ToF and RGBD cameras for 3D robot perception and manipulation in human environments"],"prefix":"10.1007","volume":"7","author":[{"given":"G.","family":"Aleny\u00e0","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"S.","family":"Foix","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"C.","family":"Torras","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2014,9,11]]},"reference":[{"key":"159_CR1","doi-asserted-by":"crossref","unstructured":"Aleny\u00e0 G, Dellen B, Torras C (2011) 3D modelling of leaves from color and tof data for robotized plant measuring. In: Proceedings of IEEE international conference on robotics and automation, Shanghai, pp 3408\u20133414","DOI":"10.1109\/ICRA.2011.5980092"},{"issue":"3","key":"159_CR2","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1109\/MRA.2012.2230118","volume":"20","author":"G Aleny\u00e0","year":"2013","unstructured":"Aleny\u00e0 G, Dellen B, Foix S, Torras C (2013) Robotized plant probing: leaf segmentation utilizing time-of-flight data. IEEE Robot Autom Mag 20(3):50\u201359","journal-title":"IEEE Robot Autom Mag"},{"key":"159_CR3","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.sna.2014.07.014","volume":"218","author":"G Aleny\u00e0","year":"2014","unstructured":"Aleny\u00e0 G, Foix S, Torras C (2014) ToF cameras for active vision in robotics. Sens Actuators Physl 218:10\u201322","journal-title":"Sens Actuators Physl"},{"issue":"12","key":"159_CR4","doi-asserted-by":"crossref","first-page":"10080","DOI":"10.3390\/s91210080","volume":"9","author":"F Chiabrando","year":"2009","unstructured":"Chiabrando F, Chiabrando R, Piatti D, Rinaudo F (2009) Sensors for 3D imaging: metric evaluation and calibration of a CCD\/CMOS time-of-flight camera. Sensors 9(12):10080\u201310096","journal-title":"Sensors"},{"key":"159_CR5","doi-asserted-by":"crossref","unstructured":"Foix S, Aleny\u00e0 G, Andrade-Cetto J, Torras C (2010) Object modeling using a ToF camera under an uncertainty reduction approach. In: Proceedings of IEEE international conference on robotics and automation, Anchorage, pp 1306\u20131312","DOI":"10.1109\/ROBOT.2010.5509197"},{"issue":"9","key":"159_CR6","doi-asserted-by":"crossref","first-page":"1917","DOI":"10.1109\/JSEN.2010.2101060","volume":"11","author":"S Foix","year":"2011","unstructured":"Foix S, Aleny\u00e0 G, Torras C (2011) Lock-in time-of-flight (ToF) cameras: a survey. IEEE Sensors J 11(9):1917\u20131926","journal-title":"IEEE Sensors J"},{"key":"159_CR7","doi-asserted-by":"crossref","unstructured":"Fossati A, Gall J, Grabner H, Ren X, Konolige K (eds) (2013) Consumer Depth cameras for computer vision. Advances in computer vision and pattern recognition series. Springer, Berlin","DOI":"10.1007\/978-1-4471-4640-7"},{"issue":"3\/4","key":"159_CR8","first-page":"274","volume":"5","author":"S Fuchs","year":"2008","unstructured":"Fuchs S, May S (2008) Calibration and registration for precise surface reconstruction with time of flight cameras. Int J Intell Syst Technol Appl 5(3\/4):274\u2013284","journal-title":"Int J Intell Syst Technol Appl"},{"issue":"4","key":"159_CR9","first-page":"500","volume":"35","author":"S Ghobadi","year":"2008","unstructured":"Ghobadi S, Loepprich O, Ahmadov F, Bernshausen J (2008) Real time hand based robot control using multimodal images. Int J Comput Sci 35(4):500\u2013505","journal-title":"Int J Comput Sci"},{"key":"159_CR10","doi-asserted-by":"crossref","unstructured":"Janoch A, Karayev S, Jia Y, Barron JT, Fritz M, Saenko K, Darrell T (2013) A category-level 3d object dataset: putting the Kinect to work. In:Fossati A, Gall J, Grabner H, Ren X, Konolige K (eds) Consumer depth cameras for computer vision, Springer, London, pp 141\u2013165","DOI":"10.1007\/978-1-4471-4640-7_8"},{"key":"159_CR11","doi-asserted-by":"crossref","unstructured":"Kahn S, Bockholt U, Kuijper A, Fellner DW (2013) Towards precise real-time 3D difference detection for industrial applications. Comput Indus 64(9):1115\u20131128","DOI":"10.1016\/j.compind.2013.04.004"},{"key":"159_CR12","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1016\/j.isprsjprs.2013.11.012","volume":"88","author":"W Kazmi","year":"2014","unstructured":"Kazmi W, Foix S, Aleny\u00e0 G, Andersen HJ (2014) Indoor and outdoor depth imaging of leaves with time-of-flight and stereo vision sensors: analysis and comparison. ISPRS J Photogramm Remote Sens 88:128\u2013146","journal-title":"ISPRS J Photogramm Remote Sens"},{"issue":"2","key":"159_CR13","doi-asserted-by":"crossref","first-page":"1437","DOI":"10.3390\/s120201437","volume":"12","author":"K Khoshelham","year":"2012","unstructured":"Khoshelham K, Elberink SO (2012) Accuracy and resolution of Kinect depth data for indoor mapping applications. Sensors 12(2):1437\u20131454","journal-title":"Sensors"},{"issue":"3","key":"159_CR14","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1109\/3.910448","volume":"37","author":"R Lange","year":"2001","unstructured":"Lange R, Seitz P (2001) Solid-state time-of-flight range camera. IEEE J Quantum Electron 37(3):390\u2013397","journal-title":"IEEE J Quantum Electron"},{"key":"159_CR15","doi-asserted-by":"crossref","unstructured":"Lefloch D, Nair R, Lenzen F, Sch\u00e4fer H, Streeter L, Cree M, Koch R, Kolb A. (2013) Technical foundation and calibration methods for time-of-flight cameras. In: Grzegorzek M, Theobalt C, Koch R, Kolb A (eds) Time-of-flight and depth imaging: sensors, algorithms, and applications, LNCS 8200, Springer","DOI":"10.1007\/978-3-642-44964-2_1"},{"issue":"12","key":"159_CR16","doi-asserted-by":"crossref","first-page":"1318","DOI":"10.1016\/j.cviu.2009.11.002","volume":"114","author":"M Lindner","year":"2010","unstructured":"Lindner M, Schiller I, Kolb A, Koch R (2010) Time-of-flight sensor calibration for accurate range sensing. Comput Vis Image Underst 114(12):1318\u20131328","journal-title":"Comput Vis Image Underst"},{"key":"159_CR17","doi-asserted-by":"crossref","unstructured":"May S, Fuchs S, Droeschel D, Holz D, Nuchter A (2009) Robust 3D-mapping with time-of-flight cameras. In: Proceedings of IEEE international conference in intelligent robots and systems. Saint Louis, pp 1673\u20131679","DOI":"10.1109\/IROS.2009.5354684"},{"key":"159_CR18","doi-asserted-by":"crossref","unstructured":"Ramisa A, Aleny\u00e0 G, Moreno-Noguer F, Torras C (2012) Using depth and appearance features for informed robot grasping of highly wrinkled clothes. In: Proceedings of IEEE international conference on robotics and automation, Saint Paul, pp 1703\u20131708","DOI":"10.1109\/ICRA.2012.6225045"},{"key":"159_CR19","doi-asserted-by":"crossref","unstructured":"Shotton J, Fitzgibbon A, Cook M, Sharp T, Finocchio M, Moore R, Kipman A, Blake A (2011) Real-time human pose recognition in parts from a single depth image. In: Proceedings of 25th IEEE conference on computer vision and pattern recognition, Colorado Springs","DOI":"10.1109\/CVPR.2011.5995316"},{"issue":"2","key":"159_CR20","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1109\/MMUL.2012.24","volume":"19","author":"Z Zhang","year":"2012","unstructured":"Zhang Z (2012) Microsoft Kinect sensor and its effect. IEEE Multimedia 19(2):4\u201310","journal-title":"IEEE Multimedia"}],"container-title":["Intelligent Service Robotics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11370-014-0159-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11370-014-0159-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11370-014-0159-5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,14]],"date-time":"2019-08-14T21:47:11Z","timestamp":1565819231000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11370-014-0159-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,9,11]]},"references-count":20,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2014,10]]}},"alternative-id":["159"],"URL":"https:\/\/doi.org\/10.1007\/s11370-014-0159-5","relation":{},"ISSN":["1861-2776","1861-2784"],"issn-type":[{"value":"1861-2776","type":"print"},{"value":"1861-2784","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,9,11]]}}}