Advances in robot vision

The interaction between the computer vision and robot vision communities is not as strong as one could expect. The main results in the computer vision community are published at conferences, such as ECCV, ICCV and CVPR as opposed to ICRA and IROS in robotics. In addition, the communities have different archival journals, such as IEEE PAMI, IEEE TRA, Robotics and Autonomous Systems and International Journal of Robotics Research. Exciting results are emerging in both of the communities and there is a need for stronger cross fertilization between them. Consequently, to address this need a workshop was organized at IROS 2004 in Sendai. The papers in the present volume originate from that workshop in extended versions.

[1]  G LoweDavid,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004 .

[2]  Luke Fletcher,et al.  Correlating driver gaze with the road scene for driver assistance systems , 2005, Robotics Auton. Syst..

[3]  Anthony G. Cohn,et al.  Modeling Interaction Using Learnt Qualitative Spatio-Temporal Relations and Variable Length Markov Models , 2002, ECAI.

[4]  Anthony G. Cohn,et al.  Constructing qualitative event models automatically from video input , 2000, Image Vis. Comput..

[5]  Selim Benhimane,et al.  A unified approach to visual tracking and servoing , 2005, Robotics Auton. Syst..

[6]  Barbara Caputo,et al.  Recognition with local features: the kernel recipe , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[7]  Wolfgang Ponweiser,et al.  A software framework to integrate vision and reasoning components for Cognitive Vision Systems , 2005, Robotics Auton. Syst..

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[9]  Danica Kragic,et al.  Vision for robotic object manipulation in domestic settings , 2005, Robotics Auton. Syst..

[10]  Pietro Perona,et al.  Object class recognition by unsupervised scale-invariant learning , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[11]  Peter I. Corke,et al.  A tutorial on visual servo control , 1996, IEEE Trans. Robotics Autom..

[12]  Jana Kosecka,et al.  Global localization and relative positioning based on scale-invariant keypoints , 2005, Robotics Auton. Syst..

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[14]  Darius Burschka,et al.  Navigating inner space: 3-D assistance for minimally invasive surgery , 2005, Robotics Auton. Syst..

[15]  Bernt Schiele,et al.  Interleaving Object Categorization and Segmentation , 2006, Cognitive Vision Systems.

[16]  David G. Lowe,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.

[17]  Éric Marchand,et al.  Feature tracking for visual servoing purposes , 2005, Robotics Auton. Syst..