{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T18:45:27Z","timestamp":1725907527105},"publisher-location":"Cham","reference-count":31,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319648699"},{"type":"electronic","value":"9783319648705"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-64870-5_27","type":"book-chapter","created":{"date-parts":[[2017,8,8]],"date-time":"2017-08-08T12:51:06Z","timestamp":1502196666000},"page":"555-574","source":"Crossref","is-referenced-by-count":3,"title":["Affordance Origami: Unfolding Agent Models for\u00a0Hierarchical Affordance Prediction"],"prefix":"10.1007","author":[{"given":"Viktor","family":"Seib","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Malte","family":"Knauf","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dietrich","family":"Paulus","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,8,9]]},"reference":[{"key":"27_CR1","volume-title":"The ecological approach to visual perception","author":"JJ Gibson","year":"1986","unstructured":"Gibson, J.J.: The ecological approach to visual perception. Routledge, Abingdon (1986)"},{"key":"27_CR2","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1207\/S15326969ECO1502_5","volume":"15","author":"A Chemero","year":"2003","unstructured":"Chemero, A.: An outline of a theory of affordances. Ecol. psychol. 15, 181\u2013195 (2003)","journal-title":"Ecol. psychol."},{"key":"27_CR3","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1207\/s15326969eco0403_3","volume":"4","author":"MT Turvey","year":"1992","unstructured":"Turvey, M.T.: Affordances and prospective control: an outline of the ontology. Ecol. psychol. 4, 173\u2013187 (1992)","journal-title":"Ecol. psychol."},{"key":"27_CR4","doi-asserted-by":"crossref","unstructured":"Hinkle, L., Olson, E.: Predicting object functionality using physical simulations. In: 2013 IEEE\/RSJ International Conference on, Intelligent Robots and Systems (IROS), pp. 2784\u20132790. IEEE (2013)","DOI":"10.1109\/IROS.2013.6696750"},{"key":"27_CR5","doi-asserted-by":"crossref","unstructured":"Grabner, H., Gall, J., Van Gool, L.: What makes a chair a chair? In: 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1529\u20131536 (2011)","DOI":"10.1109\/CVPR.2011.5995327"},{"key":"27_CR6","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1109\/TRO.2007.914848","volume":"24","author":"L Montesano","year":"2008","unstructured":"Montesano, L., Lopes, M., Bernardino, A., Santos-Victor, J.: Learning object affordances: from sensory-motor coordination to imitation. IEEE Trans. Robot. 24, 15\u201326 (2008)","journal-title":"IEEE Trans. Robot."},{"key":"27_CR7","unstructured":"Ridge, B., Skocaj, D., Leonardis, A.: Unsupervised learning of basic object affordances from object properties. In: Computer Vision Winter Workshop, pp. 21\u201328 (2009)"},{"key":"27_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"435","DOI":"10.1007\/978-3-540-79547-6_42","volume-title":"Computer Vision Systems","author":"M Stark","year":"2008","unstructured":"Stark, M., Lies, P., Zillich, M., Wyatt, J., Schiele, B.: Functional object class detection based on learned affordance cues. In: Gasteratos, A., Vincze, M., Tsotsos, J.K. (eds.) ICVS 2008. LNCS, vol. 5008, pp. 435\u2013444. Springer, Heidelberg (2008). doi: 10.1007\/978-3-540-79547-6_42"},{"key":"27_CR9","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/j.cviu.2010.08.002","volume":"115","author":"H Kjellstr\u00f6m","year":"2011","unstructured":"Kjellstr\u00f6m, H., Romero, J., Kragi\u0107, D.: Visual object-action recognition: inferring object affordances from human demonstration. Comput. Vis. Image Underst. 115, 81\u201390 (2011)","journal-title":"Comput. Vis. Image Underst."},{"key":"27_CR10","doi-asserted-by":"crossref","unstructured":"Lopes, M., Melo, F.S., Montesano, L.: Affordance-based imitation learning in robots. In: IEEE\/RSJ International Conference on Intelligent Robots and Systems IROS 2007, pp. 1015\u20131021. IEEE (2007)","DOI":"10.1109\/IROS.2007.4399517"},{"key":"27_CR11","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1109\/TAMD.2011.2106782","volume":"3","author":"C Castellini","year":"2011","unstructured":"Castellini, C., Tommasi, T., Noceti, N., Odone, F., Caputo, B.: Using object affordances to improve object recognition. IEEE Trans. Auton. Ment. Dev. 3, 207\u2013215 (2011)","journal-title":"IEEE Trans. Auton. Ment. Dev."},{"key":"27_CR12","doi-asserted-by":"crossref","unstructured":"W\u00fcnstel, M., Moratz, R.: Automatic object recognition within an office environment. In: CRV, vol. 4, pp. 104\u2013109. Citeseer (2004)","DOI":"10.1109\/CCCRV.2004.1301429"},{"key":"27_CR13","doi-asserted-by":"publisher","first-page":"921","DOI":"10.1007\/978-3-319-00065-7_61","volume-title":"Experimental Robotics","author":"Y Jiang","year":"2013","unstructured":"Jiang, Y., Saxena, A.: Hallucinating humans for learning robotic placement of objects. In: Desai, J.P., Dudek, G., Khatib, O., Kumar, V. (eds.) Experimental Robotics, vol. 88, pp. 921\u2013937. Springer, Heidelberg (2013). doi: 10.1007\/978-3-319-00065-7_61"},{"key":"27_CR14","doi-asserted-by":"crossref","unstructured":"Gupta, A., Satkin, S., Efros, A., Hebert, M., et al.: From 3D scene geometry to human workspace. In: 2011 IEEE Conference on, Computer Vision and Pattern Recognition (CVPR), pp. 1961\u20131968. IEEE (2011)","DOI":"10.1109\/CVPR.2011.5995448"},{"key":"27_CR15","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1177\/1059712307084689","volume":"15","author":"E \u015eahin","year":"2007","unstructured":"\u015eahin, E., \u00c7akmak, M., Do\u011far, M.R., U\u011fur, E., \u00dc\u00e7oluk, G.: To afford or not to afford: a new formalization of affordances toward affordance-based robot control. Adapt. Behav. 15, 447\u2013472 (2007)","journal-title":"Adapt. Behav."},{"key":"27_CR16","doi-asserted-by":"crossref","unstructured":"Seib, V., Knauf, M., Paulus, D.: Detecting fine-grained sitting affordances with fuzzy sets. In: Magnenat-Thalmann, N., Richard, P., Linsen, L., Telea, A., Battiato, S., Imai, F., Braz (eds.) Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. SciTePress (2016)","DOI":"10.5220\/0005638802890298"},{"key":"27_CR17","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1177\/0278364909356602","volume":"29","author":"J Sun","year":"2010","unstructured":"Sun, J., Moore, J.L., Bobick, A., Rehg, J.M.: Learning visual object categories for robot affordance prediction. Int. J. Robot. Res. 29, 174\u2013197 (2010)","journal-title":"Int. J. Robot. Res."},{"key":"27_CR18","unstructured":"Hermans, T., Rehg, J.M., Bobick, A.: Affordance prediction via learned object attributes. In: International Conference on Robotics and Automation: Workshop on Semantic Perception, Mapping, and Exploration (2011)"},{"key":"27_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"413","DOI":"10.1007\/978-3-319-16181-5_30","volume-title":"Computer Vision - ECCV 2014 Workshops","author":"V Seib","year":"2015","unstructured":"Seib, V., Wojke, N., Knauf, M., Paulus, D.: Detecting fine-grained affordances with an anthropomorphic agent model. In: Agapito, L., Bronstein, M.M., Rother, C. (eds.) ECCV 2014. LNCS, vol. 8926, pp. 413\u2013419. Springer, Cham (2015). doi: 10.1007\/978-3-319-16181-5_30"},{"key":"27_CR20","doi-asserted-by":"crossref","unstructured":"Maier, J.R., Ezhilan, T., Fadel, G.M.: The affordance structure matrix: a concept exploration and attention directing tool for affordance based design. In: ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pp. 277\u2013287. American Society of Mechanical Engineers (2007)","DOI":"10.1115\/DETC2007-34526"},{"key":"27_CR21","unstructured":"Maier, J.R., Mocko, G., Fadel, G.M., et al.: Hierarchical affordance modeling. In: DS 58\u20135: Proceedings of ICED 09, the 17th International Conference on Engineering Design, vol. 5, Design Methods and Tools (pt. 1), Palo Alto, CA, USA, 24\u201327 08 2009 (2009)"},{"key":"27_CR22","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1006\/ciun.1994.1001","volume":"59","author":"L Stark","year":"1994","unstructured":"Stark, L., Bowyer, K.: Function-based generic recognition for multiple object categories. CVGIP: Image Underst. 59, 1\u201321 (1994)","journal-title":"CVGIP: Image Underst."},{"key":"27_CR23","doi-asserted-by":"crossref","unstructured":"Bar-Aviv, E., Rivlin, E.: Functional 3D object classification using simulation of embodied agent. In: BMVC, pp. 307\u2013316 (2006)","DOI":"10.5244\/C.20.32"},{"key":"27_CR24","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1177\/1059712307085098","volume":"15","author":"A Chemero","year":"2007","unstructured":"Chemero, A., Turvey, M.T.: Gibsonian affordances for roboticists. Adapt. Behav. 15, 473\u2013480 (2007)","journal-title":"Adapt. Behav."},{"key":"27_CR25","unstructured":"GESIS: Wie gro\u00df sind Sie? allgemeine bev\u00f6lkerungsumfrage der sozialwissenschaften allbus 2014 (2015). http:\/\/de.statista.com\/statistik\/daten\/studie\/278035\/umfrage\/koerpergroesse-in-deutschland\/ . Accessed 26 Jan 2016"},{"key":"27_CR26","doi-asserted-by":"crossref","first-page":"1047","DOI":"10.3390\/ijerph7031047","volume":"7","author":"B Bogin","year":"2010","unstructured":"Bogin, B., Varela-Silva, M.I.: Leg length, body proportion, and health: a review with a note on beauty. Int. J. Environ. Res. Public Health 7, 1047\u20131075 (2010)","journal-title":"Int. J. Environ. Res. Public Health"},{"key":"27_CR27","doi-asserted-by":"crossref","first-page":"338","DOI":"10.1016\/S0019-9958(65)90241-X","volume":"8","author":"LA Zadeh","year":"1965","unstructured":"Zadeh, L.A.: Fuzzy sets. Inf. Control 8, 338\u2013353 (1965)","journal-title":"Inf. Control"},{"key":"27_CR28","doi-asserted-by":"crossref","unstructured":"Pan, J., Chitta, S., Manocha, D.: FCL: a general purpose library for collision and proximity queries. In: 2012 IEEE International Conference on Robotics and Automation (ICRA), pp. 3859\u20133866 (2012)","DOI":"10.1109\/ICRA.2012.6225337"},{"key":"27_CR29","unstructured":"Hornung, A., Wurm, K.M., Bennewitz, M., Stachniss, C., Burgard, W.: OctoMap: an efficient probabilistic 3D mapping framework based on Octrees. Autonomous Robots (2013). http:\/\/octomap.github.com"},{"key":"27_CR30","unstructured":"Bonissone, P.P., Decker, K.S.: Selecting uncertainty calculi and granularity: an experiment in trading-off precision and complexity. Uncertainty in Artificial Intelligence (1985)"},{"key":"27_CR31","doi-asserted-by":"crossref","unstructured":"Stark, L., Hall, L.O., Bowyer, K.: Investigation of methods of combining functional evidence for 3-D object recognition. In: Intelligent Robots and Computer Vision IX: Algorithms and Techniques (1991)","DOI":"10.1117\/12.25165"}],"container-title":["Communications in Computer and Information Science","Computer Vision, Imaging and Computer Graphics Theory and Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-64870-5_27","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,2]],"date-time":"2019-10-02T00:13:28Z","timestamp":1569975208000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-64870-5_27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319648699","9783319648705"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-64870-5_27","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2017]]}}}