FINDDD: A fast 3D descriptor to characterize textiles for robot manipulation
Cita com:
hdl:2117/24950
Tipus de documentText en actes de congrés
Data publicació2013
EditorInstitute of Electrical and Electronics Engineers (IEEE)
Condicions d'accésAccés obert
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
ProjecteINTELLACT - Intelligent observation and execution of Actions and manipulations (EC-FP7-269959)
Abstract
Most current depth sensors provide 2.5D range images in which depth values are assigned to a rectangular 2D array. In this paper we take advantage of this structured information to build an efficient shape descriptor which is about two orders of magnitude faster than competing approaches, while showing similar performance in several tasks involving deformable object recognition. Given a 2D patch surrounding a point and its associated depth values, we build the descriptor for that point, based on the cumulative distances between their normals and a discrete set of normal directions. This processing is made very efficient using integral images, even allowing to compute descriptors for every range image pixel in a few seconds. The discriminative power of our descriptor, dubbed FINDDD, is evaluated in three different scenarios: recognition of specific cloth wrinkles, instance recognition from geometry alone, and detection of reliable and informed grasping points.
CitacióRamisa, A. [et al.]. FINDDD: A fast 3D descriptor to characterize textiles for robot manipulation. A: IEEE/RSJ International Conference on Intelligent Robots and Systems. "IROS 2013: New Horizon Conference Digest: 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems: Tokyo, Big Sight, Tokyo, Japan, November 3-8, 2013". Tokyo: Institute of Electrical and Electronics Engineers (IEEE), 2013, p. 824-830.
Versió de l'editorhttp://dx.doi.org/10.1109/IROS.2013.6696446
Col·leccions
- IRI - Institut de Robòtica i Informàtica Industrial, CSIC-UPC - Ponències/Comunicacions de congressos [576]
- VIS - Visió Artificial i Sistemes Intel·ligents - Ponències/Comunicacions de congressos [292]
- ROBiri - Grup de Percepció i Manipulació Robotitzada de l'IRI - Ponències/Comunicacions de congressos [252]
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