Vision for Robotics

Robot vision refers to the capability of a robot to visually perceive the environment and use this information for execution of various tasks. Visual feedback has been used extensively for robot navigation and obstacle avoidance. In the recent years, there are also examples that include interaction with people and manipulation of objects. In this paper, we review some of the work that goes beyond of using artificial landmarks and fiducial markers for the purpose of implementing vision-based control in robots. We discuss different application areas, both from the systems perspective and individual problems such as object tracking and recognition.

[1]  Frédéric Jurie.  Robust hypothesis verification: application to model-based object recognition , 1999, Pattern Recognit..

[2]  David G. Lowe,et al.  Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[3]  James L. Crowley,et al.  Vision as Process , 1995 .

[4]  Robert M. Haralick,et al.  Performance Characterization in Computer Vision , 1993, BMVC.

[5]  Danica Kragic,et al.  Object detection and mapping for service robot tasks , 2007, Robotica.

[6]  David A. Forsyth,et al.  3D Object Recognition Using Invariance , 1995, Artif. Intell..

[7]  Ashutosh Saxena,et al.  Robotic Grasping of Novel Objects using Vision , 2008, Int. J. Robotics Res..

[8]  Charles C. Kemp,et al.  Manipulation in Human Environments , 2006, 2006 6th IEEE-RAS International Conference on Humanoid Robots.

[9]  Wolfgang Ponweiser,et al.  Edge-Projected Integration of Image and Model Cues for Robust Model-Based Object Tracking , 2001, Int. J. Robotics Res..

[10]  Thomas Serre,et al.  Robust Object Recognition with Cortex-Like Mechanisms , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[11]  Franc Solina,et al.  Part-level object recognition using superquadrics , 2004, Comput. Vis. Image Underst..

[12]  François Chaumette,et al.  Visual servo control. I. Basic approaches , 2006, IEEE Robotics & Automation Magazine.

[13]  Danica Kragic,et al.  Birth of the Object: Detection of Objectness and Extraction of Object Shape through Object-Action complexes , 2008, Int. J. Humanoid Robotics.

[14]  Gregory D. Hager,et al.  Efficient Region Tracking With Parametric Models of Geometry and Illumination , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[15]  K. Yokoi,et al.  Operating Humanoid Robots in Human Environments , 2006 .

[16]  Roberto Cipolla,et al.  Real-Time Tracking of Multiple Articulated Structures in Multiple Views , 2000, ECCV.

[17]  Gordon Cheng,et al.  Biologically Based Top-Down Attention Modulation for Humanoid Interactions , 2008, Int. J. Humanoid Robotics.

[18]  Markus Vincze,et al.  An Integrated Framework for Robust Real-Time 3D Object Tracking , 1999, ICVS.

[19]  Selim Benhimane,et al.  Homography-based 2D Visual Tracking and Servoing , 2007, Int. J. Robotics Res..

[20]  Andrew Zisserman,et al.  Video Google: a text retrieval approach to object matching in videos , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[21]  J. H. M. Byne,et al.  A CAD-based computer vision system , 1998, Image Vis. Comput..

[22]  I. Biederman.  Recognition-by-components: a theory of human image understanding. , 1987, Psychological review.

[23]  Gregory D. Hager,et al.  Incremental Focus of Attention for Robust Vision-Based Tracking , 1999, International Journal of Computer Vision.

[24]  Kevin W. Bowyer,et al.  Function from visual analysis and physical interaction: a methodology for recognition of generic classes of objects , 1998, Image Vis. Comput..

[25]  Jana Kosecka,et al.  Visual door detection integrating appearance and shape cues , 2008, Robotics Auton. Syst..

[26]  David G. Lowe,et al.  Object Class Recognition with Many Local Features , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.

[27]  Georg Färber,et al.  Robust video-based object recognition integrating highly redundant cues for indexing and verification , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[28]  Manuel Lopes,et al.  Learning Object Affordances: From Sensory--Motor Coordination to Imitation , 2008, IEEE Transactions on Robotics.

[29]  R. S. Stephens.  Real-Time 3 D Object Tracking , 2008 .

[30]  Ales Ude,et al.  Probabilistic detection and tracking at high frame rates using affine warping , 2002, Object recognition supported by user interaction for service robots.

[31]  D. V. van Essen,et al.  A neurobiological model of visual attention and invariant pattern recognition based on dynamic routing of information , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[32]  Cordelia Schmid,et al.  Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[33]  Danica Kragic,et al.  Cue integration for visual servoing , 2001, IEEE Trans. Robotics Autom..

[34]  Hiroshi Murase,et al.  Quick 3D object detection and localization by dynamic active search with multiple active cameras , 2002, Object recognition supported by user interaction for service robots.

[35]  Martial Hebert,et al.  Experimental Comparison of Techniques for Localization and Mapping Using a Bearing-Only Sensor , 2000, ISER.

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

[37]  Sukhan Lee,et al.  A real-time 3D workspace modeling with stereo camera , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[38]  Danica Kragic,et al.  Tracking unobservable rotations by cue integration , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[39]  Horst Bischof,et al.  Robust Recognition Using Eigenimages , 2000, Comput. Vis. Image Underst..

[40]  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..

[41]  Heinrich H Bülthoff,et al.  Image-based object recognition in man, monkey and machine , 1998, Cognition.

[42]  Chris Harris,et al.  RAPID - a video rate object tracker , 1990, BMVC.

[43]  Florentin Wörgötter,et al.  A Scene Representation Based on Multi-Modal 2D and 3D Features , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[44]  David G. Lowe,et al.  Three-Dimensional Object Recognition from Single Two-Dimensional Images , 1987, Artif. Intell..

[45]  Ali Shahdi,et al.  Adaptive/Robust Control for Time-Delay Teleoperation , 2009, IEEE Transactions on Robotics.

[46]  Peter Corke,et al.  Visual Control of Robots: High-Performance Visual Servoing , 1996 .

[47]  Wolfram Burgard,et al.  A Probabilistic Approach to Concurrent Mapping and Localization for Mobile Robots , 1998, Auton. Robots.

[48]  Masatoshi Ishikawa,et al.  A Hierarchical Control Architecture for High-Speed Visual Servoing , 2003, Int. J. Robotics Res..

[49]  François Chaumette,et al.  Theoretical improvements in the stability analysis of a new class of model-free visual servoing methods , 2002, IEEE Trans. Robotics Autom..

[50]  Nicolas Pinto,et al.  Why is Real-World Visual Object Recognition Hard? , 2008, PLoS Comput. Biol..

[51]  Giorgio Metta,et al.  Better Vision through Experimental Manipulation , 2002 .

[52]  Josechu J. Guerrero,et al.  Visual correction for mobile robot homing , 2005, Robotics Auton. Syst..

[53]  Gregory D. Hager,et al.  Robust Visual Tracking by Integrating Various Cues , 2000 .

[54]  Gregory D. Hager,et al.  Real-time tracking of image regions with changes in geometry and illumination , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[55]  Christian Bauckhage,et al.  Integration frameworks for large scale cognitive vision systems - an evaluative study , 2004, ICPR 2004.

[56]  José A. Castellanos,et al.  Mobile Robot Localization and Map Building: A Multisensor Fusion Approach , 2000 .

[57]  David W. Murray,et al.  Delays versus performance of visually guided systems , 1996 .

[58]  Luc Van Gool,et al.  Simultaneous Object Recognition and Segmentation from Single or Multiple Model Views , 2006, International Journal of Computer Vision.

[59]  Paolo Pirjanian,et al.  A Visual Front-end for Simultaneous Localization and Mapping , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[60]  Vidhya Navalpakkam,et al.  Sharing Resources : Buy Attention , Get Object Recognition , 2022 .

[61]  Franjo Pernus,et al.  Planning Sequences Of Views For 3-D Object Recognition And Pose Determination , 1998, Pattern Recognit..

[62]  Katsushi Ikeuchi,et al.  Grasp recognition using a 3D articulated model and infrared images , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

[63]  Ehud Rivlin,et al.  Learning function-based object classification from 3D imagery , 2008, Comput. Vis. Image Underst..

[64]  Donald D. Hoffman,et al.  Parts of recognition , 1984, Cognition.

[65]  Massimo Piccardi,et al.  Background subtraction techniques: a review , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[66]  Danica Kragic,et al.  A person following behaviour for a mobile robot , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

[67]  Mohammed Bennamoun,et al.  Three-Dimensional Model-Based Object Recognition and Segmentation in Cluttered Scenes , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[68]  Franc Solina,et al.  Segmentation and recovery of superquadrics: computational imaging and vision , 2000 .

[69]  T. Southey,et al.  Object Discovery through Motion, Appearance and Shape , 2006 .

[70]  Henrik I. Christensen,et al.  Vision SLAM in the Measurement Subspace , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[71]  Sven J. Dickinson,et al.  A Computational Model of View Degeneracy , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[72]  Volker Graefe,et al.  Dynamic monocular machine vision , 1988, Machine Vision and Applications.

[73]  Danica Kragic,et al.  A framework for vision based bearing only 3D SLAM , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[74]  L. Fogassi,et al.  Functional properties of grasping-related neurons in the dorsal premotor area F2 of the macaque monkey. , 2004, Journal of neurophysiology.

[75]  C. S. George Lee,et al.  Adaptive image feature prediction and control for visual tracking with a hand-eye coordinated camera , 1990, IEEE Trans. Syst. Man Cybern..

[76]  Danica Kragic,et al.  Integration of Model-based and Model-free Cues for Visual Object Tracking in 3D , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[77]  Vincent Lepetit,et al.  Stable real-time 3D tracking using online and offline information , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

[79]  Giuseppe Oriolo,et al.  Epipole-based visual servoing for nonholonomic mobile robots , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[80]  Markus Vincze,et al.  Anytimeness avoids parameters in detecting closed convex polygons , 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

[81]  Danica Kragic.  Visual Servoing for Manipulation : Robustness and Integration Issues , 2001 .

[82]  Robert C. Bolles,et al.  Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.

[83]  Walterio W. Mayol-Cuevas,et al.  Discovering Higher Level Structure in Visual SLAM , 2008, IEEE Transactions on Robotics.

[84]  Peter I. Corke,et al.  A new partitioned approach to image-based visual servo control , 2001, IEEE Trans. Robotics Autom..

[85]  David W. Murray,et al.  Improving the Agility of Keyframe-Based SLAM , 2008, ECCV.

[86]  Gerd Hirzinger,et al.  The 3D-Modeller: A Multi-Purpose Vision Platform , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[87]  James J. Little,et al.  Curious George: An attentive semantic robot , 2008, Robotics Auton. Syst..

[88]  Éric Marchand,et al.  A visual servoing control law that is robust to image outliers , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

[89]  Robert C. Bolles,et al.  3DPO: A Three- Dimensional Part Orientation System , 1986, IJCAI.

[90]  Gerd Hirzinger,et al.  Real-time visual tracking of 3D objects with dynamic handling of occlusion , 1997, Proceedings of International Conference on Robotics and Automation.

[91]  John J. Leonard,et al.  Robust Mapping and Localization in Indoor Environments Using Sonar Data , 2002, Int. J. Robotics Res..

[92]  Ali Sekmen,et al.  Vision-based mobile robot learning and navigation , 2005, ROMAN 2005. IEEE International Workshop on Robot and Human Interactive Communication, 2005..

[93]  Bernt Schiele,et al.  Functional Object Class Detection Based on Learned Affordance Cues , 2008, ICVS.

[94]  A. Leonardis,et al.  Illumination Insensitive Eigenspaces , 2001, ICCV.

[95]  Lindsay Kleeman,et al.  Fusion of multimodal visual cues for model-based object tracking , 2003 .

[96]  Takeo Kanade,et al.  Vision-Based Autonomous Helicopter Research at Carnegie Mellon Robotics Institute 1991-1997 , 1998 .

[97]  Junku Yuh,et al.  The Status of Robotics , 2007, IEEE Robotics & Automation Magazine.

[98]  Gregory D. Hager,et al.  X Vision: A Portable Substrate for Real-Time Vision Applications , 1998, Comput. Vis. Image Underst..

[99]  A. Treisman,et al.  A feature-integration theory of attention , 1980, Cognitive Psychology.

[100]  Roberto Cipolla,et al.  Real-Time Visual Tracking of Complex Structures , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[101]  Antonio Torralba,et al.  Top-down control of visual attention in object detection , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

[102]  Henrik I. Christensen,et al.  Clarification dialogues in human-augmented mapping , 2006, HRI '06.

[103]  Andrew J. Davison,et al.  Real-time simultaneous localisation and mapping with a single camera , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[104]  R. Bajcsy.  Active perception , 1988 .

[105]  James J. Little,et al.  Vision-based SLAM using the Rao-Blackwellised Particle Filter , 2005 .

[106]  Michel Dhome,et al.  Real time tracking of 3D objects: an efficient and robust approach , 2002, Pattern Recognit..

[107]  Bill Triggs,et al.  Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[108]  John K. Tsotsos.  On the relative complexity of active vs. passive visual search , 2004, International Journal of Computer Vision.

[109]  Markus Vincze,et al.  On the design and structure of artificial eyes for tracking tasks , 2005, Second IEEE International Conference on Computational Cybernetics, 2004. ICCC 2004..

[110]  Patrick Rives,et al.  A new approach to visual servoing in robotics , 1992, IEEE Trans. Robotics Autom..

[111]  Yoshiaki Shirai,et al.  Guiding a robot by visual feedback in assembling tasks , 1973, Pattern Recognit..

[112]  Rüdiger Dillmann,et al.  Teaching and learning of robot tasks via observation of human performance , 2004, Robotics Auton. Syst..

[113]  Hans-Hellmut Nagel,et al.  Cognitive Vision Systems: Sampling the Spectrum of Approaches (Lecture Notes in Computer Science) , 2006 .

[114]  Michael J. Swain,et al.  Task and Environment-Sensitive Tracking, , 1994 .

[115]  Éric Marchand,et al.  A real-time tracker for markerless augmented reality , 2003, The Second IEEE and ACM International Symposium on Mixed and Augmented Reality, 2003. Proceedings..

[116]  Jana Kosecka,et al.  Detection and matching of rectilinear structures , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[117]  Lucas Paletta,et al.  Appearance-based active object recognition , 2000, Image Vis. Comput..

[118]  Roy Eagleson,et al.  Human visual servoing for reaching and grasping: the role of 3D geometric features , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

[119]  Zhaoping Li.  A saliency map in primary visual cortex , 2002, Trends in Cognitive Sciences.

[120]  Ruzena Bajcsy,et al.  Recovery of Parametric Models from Range Images: The Case for Superquadrics with Global Deformations , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[121]  Kurt Konolige,et al.  Incremental mapping of large cyclic environments , 1999, Proceedings 1999 IEEE International Symposium on Computational Intelligence in Robotics and Automation. CIRA'99 (Cat. No.99EX375).

[122]  Jan-Olof Eklundh,et al.  Probabilistic and Voting Approaches to Cue Integration for Figure-Ground Segmentation , 2002, ECCV.

[123]  Andrew W. Fitzgibbon,et al.  An Experimental Comparison of Range Image Segmentation Algorithms , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[124]  Tom M. Mitchell,et al.  Feature selection for grasp recognition from optical markers , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[125]  Wolfgang Ponweiser,et al.  Integrated vision system for the semantic interpretation of activities where a person handles objects , 2009, Comput. Vis. Image Underst..

[126]  Stefan Schaal,et al.  Is imitation learning the route to humanoid robots? , 1999, Trends in Cognitive Sciences.

[127]  Benjamin Kuipers,et al.  The Cognitive Map: Could It Have Been Any Other Way? , 1983 .

[128]  Carlo Tomasi,et al.  Good features to track , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[129]  Koen E. A. van de Sande,et al.  Evaluation of color descriptors for object and scene recognition , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[130]  Nikolaos Papanikolopoulos,et al.  The Minnesota robotic visual tracker: a flexible testbed for vision-guided robotic research , 1994, Proceedings of IEEE International Conference on Systems, Man and Cybernetics.

[131]  Simone Frintrop,et al.  VOCUS: A Visual Attention System for Object Detection and Goal-Directed Search , 2006, Lecture Notes in Computer Science.

[132]  B. Hannaford,et al.  Doc at a Distance , 2006, IEEE Spectrum.

[133]  Markus Vincze,et al.  The inverse approach of FlexPaint [robotic spray painting] , 2005, IEEE Robotics & Automation Magazine.

[134]  John Y. Aloimonos,et al.  Unification and integration of visual modules: an extension of the Marr Paradigm , 1989 .

[135]  M.M. Trivedi,et al.  Looking-in and looking-out of a vehicle: selected investigations in computer vision based enhanced vehicle safety , 2005, IEEE International Conference on Vehicular Electronics and Safety, 2005..

[136]  Gérard G. Medioni,et al.  Inferring global pereeptual contours from local features , 1996, International Journal of Computer Vision.

[137]  Danica Kragic,et al.  Visual recognition of grasps for human-to-robot mapping , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[138]  Danica Kragic,et al.  Interactive grasp learning based on human demonstration , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[139]  Danica Kragic,et al.  Exploiting Distinguishable Image Features in Robotic Mapping and Localization , 2006, EUROS.

[140]  Michael A. Arbib,et al.  Modeling parietal-premotor interactions in primate control of grasping , 1998, Neural Networks.

[141]  G. Rizzolatti,et al.  The organization of the cortical motor system: new concepts. , 1998, Electroencephalography and clinical neurophysiology.

[142]  Gregory D. Hager,et al.  Modeling and Control for Mobile Manipulation in Everyday Environments , 1998 .

[143]  L. Fogassi,et al.  Functional properties of grasping-related neurons in the ventral premotor area F5 of the macaque monkey. , 2006, Journal of neurophysiology.

[144]  Paul Newman,et al.  SLAM-Loop Closing with Visually Salient Features , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[145]  Ernst D. Dickmanns,et al.  Dynamic Vision for Perception and Control of Motion , 2007 .

[146]  Alexander Stoytchev,et al.  Behavior-Grounded Representation of Tool Affordances , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[147]  Larry H. Matthies,et al.  Visual odometry on the Mars exploration rovers - a tool to ensure accurate driving and science imaging , 2006, IEEE Robotics & Automation Magazine.

[148]  Jochen Triesch.  Self-organized integration of adaptive visual cues for face tracking , 2000, SPIE Defense + Commercial Sensing.

[149]  Dana H. Ballard,et al.  Animate Vision , 1991, Artif. Intell..

[150]  Simon Lacroix,et al.  A practical 3D bearing-only SLAM algorithm , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[151]  Danica Kragic,et al.  Nonholonomic epipolar visual servoing , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[152]  G. Rizzolatti,et al.  Localization of grasp representations in humans by PET: 1. Observation versus execution , 1996, Experimental Brain Research.

[153]  Giulio Sandini,et al.  Anthropomorphic Visual Sensors , 2005 .

[154]  Danica Kragic,et al.  Integration of Visual and Shape Attributes for Object Action Complexes , 2008, ICVS.

[155]  Michael Isard,et al.  CONDENSATION—Conditional Density Propagation for Visual Tracking , 1998, International Journal of Computer Vision.

[156]  Ole Madsen,et al.  RobVision - Visually Guiding a Walking Robot Through a Ship Structure , 2000 .

[157]  James J. Clark,et al.  Data Fusion for Sensory Information Processing Systems , 1990 .

[158]  Jun Saiki,et al.  Stochastic Guided Search Model for Search Asymmetries in Visual Search Tasks , 2002, Biologically Motivated Computer Vision.

[159]  Paolo Pirjanian,et al.  The vSLAM Algorithm for Robust Localization and Mapping , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[160]  Danica Kragic,et al.  Confluence of parameters in model based tracking , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[161]  Danica Kragic,et al.  Measurement errors in visual servoing , 2006, Robotics Auton. Syst..

[162]  M. Goodale,et al.  Separate visual pathways for perception and action , 1992, Trends in Neurosciences.

[163]  Gamini Dissanayake,et al.  Bearing-only SLAM Using a SPRT Based Gaussian Sum Filter , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[164]  Domenico Prattichizzo,et al.  An auto-epipolar strategy for mobile robot visual servoing , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

[165]  W.J. Wilson,et al.  Characteristics of robot visual servoing methods and target model estimation , 2002, Proceedings of the IEEE Internatinal Symposium on Intelligent Control.

[166]  Bernard Espiau,et al.  Effect of Camera Calibration Errors on Visual Servoing in Robotics , 1993, ISER.

[167]  William Grimson,et al.  Object recognition by computer - the role of geometric constraints , 1991 .

[168]  Gregory D. Hager,et al.  Probabilistic Data Association Methods for Tracking Complex Visual Objects , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[169]  Lars Petersson,et al.  Systems integration for real-world manipulation tasks , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[170]  Russell H. Taylor,et al.  Medical robotics in computer-integrated surgery , 2003, IEEE Trans. Robotics Autom..

[171]  M. Bertero,et al.  Ill-posed problems in early vision , 1988, Proc. IEEE.

[172]  Cordelia Schmid,et al.  Classification aided two stage localization , 2008 .

[173]  G. Rizzolatti,et al.  Parietal cortex: from sight to action , 1997, Current Opinion in Neurobiology.

[174]  Darius Burschka,et al.  Advances in Computational Stereo , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[175]  Tom Drummond,et al.  Robust visual tracking for non-instrumental augmented reality , 2003, The Second IEEE and ACM International Symposium on Mixed and Augmented Reality, 2003. Proceedings..

[176]  David G. Lowe,et al.  Robust model-based motion tracking through the integration of search and estimation , 1992, International Journal of Computer Vision.

[177]  Behzad Dariush,et al.  Human motion analysis for biomechanics and biomedicine , 2003, Machine Vision and Applications.

[178]  S Ullman,et al.  Shifts in selective visual attention: towards the underlying neural circuitry. , 1985, Human neurobiology.

[179]  Hans-Hellmut Nagel,et al.  Model-based object tracking in monocular image sequences of road traffic scenes , 1993, International Journal of Computer 11263on.

[180]  James L. Crowley,et al.  Perceptual user interfaces: things that see , 2000, CACM.

[181]  C. Koch,et al.  Models of bottom-up and top-down visual attention , 2000 .

[182]  Lindsay Kleeman,et al.  Robust Range Data Segmentation using Geometric Primitives for Robotic Applications , 2003, SIP.

[183]  Jan-Olof Eklundh,et al.  Object appearance from integration of 3D and 2D cues in real scenes , 2010 .

[184]  Alessandro Saffiotti,et al.  An introduction to the anchoring problem , 2003, Robotics Auton. Syst..

[185]  Heinrich H. Bülthoff.  Image-based Recognition in Man, Monkey and Machines , 2000 .

[186]  Luc Soler,et al.  Autonomous 3-D positioning of surgical instruments in robotized laparoscopic surgery using visual servoing , 2003, IEEE Trans. Robotics Autom..

[187]  Giorgio Metta,et al.  Better Vision through Manipulation , 2003, Adapt. Behav..

[188]  Alin Albu-Schäffer,et al.  ROKVISS - robotics component verification on ISS current experimental results on parameter identification , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[189]  Cordelia Schmid,et al.  A Performance Evaluation of Local Descriptors , 2005, IEEE Trans. Pattern Anal. Mach. Intell..

[190]  Henrik I. Christensen,et al.  A Model-Free Voting Approach for Integrating Multiple Cues , 1998, ECCV.

[191]  Douglas W. Cunningham,et al.  Perception of occluding and occluded objects over time: Spatiotemporal segmentation and unit formation , 2001 .

[192]  Stephen M. Smith,et al.  ASSET-2: Real-Time Motion Segmentation and Object Tracking , 1998, Real Time Imaging.

[193]  Christof Koch,et al.  A Model of Saliency-Based Visual Attention for Rapid Scene Analysis , 2009 .

[194]  Ronald-Bryan O. Alferez,et al.  Geometric and Illumination Invariants for Object Recognition , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[195]  Alexei A. Efros,et al.  Discovering objects and their location in images , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[196]  Isaac Weiss,et al.  Model-Based Recognition of 3D Objects from Single Images , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[197]  Gregory D. Hager,et al.  A modular system for robust positioning using feedback from stereo vision , 1997, IEEE Trans. Robotics Autom..

[198]  Patrick Rives,et al.  Extending visual servoing techniques to nonholonomic mobile robots , 1997, Block Island Workshop on Vision and Control.

[199]  Michel Dhome,et al.  Robust real time tracking of 3D objects , 2004, ICPR 2004.

[200]  Markus Vincze,et al.  Model-based 3D object detection , 2010, Machine Vision and Applications.

[201]  François Chaumette,et al.  2½D visual servoing , 1999, IEEE Trans. Robotics Autom..

[202]  Gordon Cheng,et al.  Foveated vision systems with two cameras per eye , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[203]  Dimitrios I. Kosmopoulos,et al.  Superquadric Segmentation in Range Images via Fusion of Region and Boundary Information , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[204]  François Chaumette,et al.  Potential problems of stability and convergence in image-based and position-based visual servoing , 1997 .

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

[206]  Ville Kyrki,et al.  Integation Methods of Model-Free Features for 3D Tracking , 2005, SCIA.

[207]  Danica Kragic,et al.  Combination of foveal and peripheral vision for object recognition and pose estimation , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[208]  Éric Marchand,et al.  Real-time Hybrid Tracking using Edge and Texture Information , 2007, Int. J. Robotics Res..

[209]  Florentin Wörgötter,et al.  Cognitive agents - a procedural perspective relying on the predictability of Object-Action-Complexes (OACs) , 2009, Robotics Auton. Syst..

[210]  Henrik I. Christensen,et al.  Application of voting to fusion of purposive modules: An experimental investigation , 1998, Robotics Auton. Syst..

[211]  Ian D. Reid,et al.  Providing synthetic views for teleoperation using visual pose tracking in multiple cameras , 2001, IEEE Trans. Syst. Man Cybern. Part A.

[212]  Giulio Sandini,et al.  Learning about objects through action - initial steps towards artificial cognition , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[213]  Hugh F. Durrant-Whyte,et al.  A solution to the simultaneous localization and map building (SLAM) problem , 2001, IEEE Trans. Robotics Autom..