Seite - 94 - in Proceedings - OAGM & ARW Joint Workshop 2016 on "Computer Vision and Robotics“
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library: Three-dimensionalobject recognitionand6dofposeestimation. IEEERobot.Automat.
Mag., 19:80–91,2012.
[4] AitorAldoma,MarkusVincze,NicoBlodow,DavidGossow,SuatGedikli,RaduBogdanRusu,
andGaryR.Bradski.Cad-modelrecognitionand6dofposeestimationusing3dcues. InICCVW,
2011.
[5] Luı´s A. Alexandre. 3d descriptors for object and category recognition: a comparative evalua-
tion. In inWorkshoponColor-DepthCameraFusion inRoboticsat the IEEE/RSJInternational
Conferenceon IntelligentRobots andSystems (IROS), 2012.
[6] Renaud Detry and Justus H. Piater. Continuous surface-point distributions for 3d object pose
estimationand recognition. In ACCV, 2010.
[7] Aleksey Golovinskiy, Thomas Funkhouser, and Traac Light Car. Min-cut based segmentation
ofpoint clouds. 2009.
[8] Aleksey Golovinskiy, Vladimir G. Kim, and Thomas A. Funkhouser. Shape-based recognition
of3dpoint clouds inurbanenvironments. In ICCV, 2009.
[9] StevenHickson,StanBirchfield, IrfanA.Essa, andHenrik I.Christensen. Efficienthierarchical
graph-based segmentationof rgbdvideos. In CVPR, 2014.
[10] Farzad Husain, Babette Dellen, and Carme Torras. Consistent depth video segmentation using
adaptive surfacemodels. IEEET. Cybernetics, 45:266–278,2015.
[11] Ajmal S. Mian, Mohammed Bennamoun, and Robyn A. Owens. Three-dimensional model-
basedobject recognitionandsegmentation inclutteredscenes. IEEETrans.PatternAnal.Mach.
Intell., 28:1584–1601,2006.
[12] Chavdar Papazov and Darius Burschka. An efficient ransac for 3d object recognition in noisy
andoccludedscenes. In ACCV, 2010.
[13] JeremiePapon,TomasKulvicius,ErenErdalAksoy,andFlorentinWo¨rgo¨tter. Pointcloudvideo
object segmentationusing apersistent supervoxelworld-model. In IROS, 2013.
[14] Karl Pauwels, Leonardo Rubio, Javier Dı´az, and Eduardo Ros. Real-time model-based rigid
objectpose estimationand tracking combiningdenseand sparsevisual cues. In CVPR, 2013.
[15] Radu Bogdan Rusu. Semantic 3d object maps for everyday manipulation in human living envi-
ronments. In DE, 2009.
[16] RaduBogdanRusuandSteveCousins. 3d ishere: Point cloud library (pcl). In ICRA, 2011.
[17] Samuele Salti, Federico Tombari, and Luigi di Stefano. Shot: Unique signatures of histograms
for surface and texture description. Computer Vision and Image Understanding, 125:251–264,
2014.
[18] Emre Ugur and Justus H. Piater. Refining discovered symbols with multi-step interaction expe-
rience. In HUMANOIDS, 2015.
[19] Koen E. A. van de Sande, Jasper R. R. Uijlings, Theo Gevers, and Arnold W. M. Smeulders.
Segmentationas selective search forobject recognition. In ICCV, 2011.
94
Proceedings
OAGM & ARW Joint Workshop 2016 on "Computer Vision and Robotics“
- Titel
- Proceedings
- Untertitel
- OAGM & ARW Joint Workshop 2016 on "Computer Vision and Robotics“
- Autoren
- Peter M. Roth
- Kurt Niel
- Verlag
- Verlag der Technischen Universität Graz
- Ort
- Wels
- Datum
- 2017
- Sprache
- englisch
- Lizenz
- CC BY 4.0
- ISBN
- 978-3-85125-527-0
- Abmessungen
- 21.0 x 29.7 cm
- Seiten
- 248
- Schlagwörter
- Tagungsband
- Kategorien
- International
- Tagungsbände