Flexible Object Recognition for a Grasping Robot
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[1] A. Treisman. SELECTIVE ATTENTION IN MAN. , 1964, British medical bulletin.
[2] P. O. Bishop,et al. Spatial vision. , 1971, Annual review of psychology.
[3] D. Marr,et al. Representation and recognition of the spatial organization of three-dimensional shapes , 1978, Proceedings of the Royal Society of London. Series B. Biological Sciences.
[4] A. Treisman,et al. A feature-integration theory of attention , 1980, Cognitive Psychology.
[5] S Marcelja,et al. Mathematical description of the responses of simple cortical cells. , 1980, Journal of the Optical Society of America.
[6] John D. Lowrance,et al. An Inference Technique for Integrating Knowledge from Disparate Sources , 1981, IJCAI.
[7] D. Pollen,et al. Phase relationships between adjacent simple cells in the visual cortex. , 1981, Science.
[8] Thomas O. Binford,et al. Inferring Surfaces from Images , 1981, Artif. Intell..
[9] F. Y. Wu. The Potts model , 1982 .
[10] Ch. von der Malsburg,et al. How are Nervous Structures Organized , 1983 .
[11] O. Firschein,et al. Syntactic pattern recognition and applications , 1983, Proceedings of the IEEE.
[12] Christof Koch,et al. Selecting One Among the Many: A Simple Network Implementing Shifts in Selective Visual Attention , 1984 .
[13] M. F.,et al. Bibliography , 1985, Experimental Gerontology.
[14] Hugh Durrant-Whyte,et al. Integration, coordination, and control of multi-sensor robot systems , 1987 .
[15] C. von der Malsburg,et al. Am I Thinking Assemblies , 1986 .
[16] Charles R. Dyer,et al. Model-based recognition in robot vision , 1986, CSUR.
[17] Dennis M. Buede,et al. Data Fusion and Decision Support for Command and Control , 1986, IEEE Transactions on Systems, Man, and Cybernetics.
[18] Tomaso Poggio,et al. Visual Attention in Brains and Computers , 1986 .
[19] Francis L. Merat,et al. Introduction to robotics: Mechanics and control , 1987, IEEE J. Robotics Autom..
[20] Joseph L Mundy. Model-based computer vision , 1987 .
[21] A. Pentland. Recognition by Parts , 1987 .
[22] I. Biederman. Recognition-by-components: a theory of human image understanding. , 1987, Psychological review.
[23] P. L. Bogler,et al. Shafer-dempster reasoning with applications to multisensor target identification systems , 1987, IEEE Transactions on Systems, Man, and Cybernetics.
[24] Elie Bienenstock,et al. A neural network for invariant pattern recognition. , 1987 .
[25] L. Maloney,et al. Color constancy: a method for recovering surface spectral reflectance , 1987 .
[26] G. Reynolds,et al. A Method for Initial Hypothesis Formation in Image Understanding , 1987 .
[27] Andrew J. Hanson,et al. Hyperquadrics: Smoothly deformable shapes with convex polyhedral bounds , 1988, Comput. Vis. Graph. Image Process..
[28] A. Treisman. Features and Objects: The Fourteenth Bartlett Memorial Lecture , 1988, The Quarterly journal of experimental psychology. A, Human experimental psychology.
[29] Hans P. Moravec. Sensor Fusion in Certainty Grids for Mobile Robots , 1988, AI Mag..
[30] A. Lynn Abbott,et al. Surface Reconstruction By Dynamic Integration Of Focus, Camera Vergence, And Stereo , 1988, [1988 Proceedings] Second International Conference on Computer Vision.
[31] D. Burr,et al. Feature detection in human vision: a phase-dependent energy model , 1988, Proceedings of the Royal Society of London. Series B. Biological Sciences.
[32] Sensor fusion in certainty grids for mobile robots , 1988 .
[33] James J. Clark,et al. Modal Control Of An Attentive Vision System , 1988, [1988 Proceedings] Second International Conference on Computer Vision.
[34] Jake K. Aggarwal,et al. Structure from stereo-a review , 1989, IEEE Trans. Syst. Man Cybern..
[35] James M. Keller,et al. Uncertainty Management In A Rule-Based Automatic Target Recognizer , 1989, Defense, Security, and Sensing.
[36] D I Perrett,et al. Frameworks of analysis for the neural representation of animate objects and actions. , 1989, The Journal of experimental biology.
[37] Doug Morgan,et al. Multisensor Object Recognition From 3D Models , 1989, Optics East.
[38] Terrance L. Huntsberger,et al. Comparison Of Techniques For Sensor Fusion Under Uncertain Conditions , 1989, Optics East.
[39] D. Burr,et al. Evidence for edge and bar detectors in human vision , 1989, Vision Research.
[40] Gregory D. Hager,et al. Task-Directed Sensor Fusion and Planning , 1990 .
[41] S. Zeki,et al. A century of cerebral achromatopsia. , 1990, Brain : a journal of neurology.
[42] H. Freeman,et al. Object recognition based on characteristic view classes , 1990, [1990] Proceedings. 10th International Conference on Pattern Recognition.
[43] Dimitris N. Metaxas,et al. Dynamic 3D models with local and global deformations: deformable superquadrics , 1990, [1990] Proceedings Third International Conference on Computer Vision.
[44] Robin R. Murphy. Control scheme for sensor fusion for navigation of autonomous mobile robots , 1991, Other Conferences.
[45] Dana H. Ballard,et al. Animate Vision , 1991, Artif. Intell..
[46] R. A. Brooks,et al. Intelligence without Representation , 1991, Artif. Intell..
[47] David G. Lowe,et al. Fitting Parameterized Three-Dimensional Models to Images , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[48] I. Block. Aristotle, The Power of Perception , 1992 .
[49] K. Rayner. Eye Movements and Visual Cognition , 1992 .
[50] Jan-Olof Eklundh,et al. A head-eye system - Analysis and design , 1992, CVGIP Image Underst..
[51] Azriel Rosenfeld,et al. 3-D Shape Recovery Using Distributed Aspect Matching , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[52] I. Biederman,et al. Dynamic binding in a neural network for shape recognition. , 1992, Psychological review.
[53] Stéphane Mallat,et al. Singularity detection and processing with wavelets , 1992, IEEE Trans. Inf. Theory.
[54] D. Coombs. Real-Time Gaze Holding in Binocular Robot Vision , 1992 .
[55] Stéphane Mallat,et al. Characterization of Signals from Multiscale Edges , 2011, IEEE Trans. Pattern Anal. Mach. Intell..
[56] Ramakant Nevatia,et al. Perception of 3-D Surfaces from 2-D Contours , 1993, IEEE Trans. Pattern Anal. Mach. Intell..
[57] Joachim M. Buhmann,et al. Distortion Invariant Object Recognition in the Dynamic Link Architecture , 1993, IEEE Trans. Computers.
[58] Thomas J. Olson,et al. Stereopsis for verging systems , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[59] K. D. De Valois,et al. A multi-stage color model. , 1993, Vision research.
[60] Robert Bergevin,et al. Generic Object Recognition: Building and Matching Coarse Descriptions from Line Drawings , 1993, IEEE Trans. Pattern Anal. Mach. Intell..
[61] David J. Fleet,et al. Stability of Phase Information , 1993, IEEE Trans. Pattern Anal. Mach. Intell..
[62] Vishvjit S. Nalwa,et al. A guided tour of computer vision , 1993 .
[63] K Tanaka,et al. Neuronal mechanisms of object recognition. , 1993, Science.
[64] Martin Lades,et al. Invariant object recognition with dynamical links, robust to variations in illumination , 1994 .
[65] A. Mikami,et al. Visual response properties of single neurons in the temporal pole of behaving monkeys. , 1994, Journal of neurophysiology.
[66] J. Cronly-Dillon,et al. Vision and visual dysfunction. , 1994, Journal of cognitive neuroscience.
[67] Ramakant Nevatia,et al. Segmentation and Recovery of SHGCs from a Real Intensity Image , 1994, ECCV.
[68] Anup Basu,et al. Motion Tracking with an Active Camera , 1994, IEEE Trans. Pattern Anal. Mach. Intell..
[69] David I. Perrett,et al. Modeling visual recognition from neurobiological constraints , 1994, Neural Networks.
[70] Christoph von der Malsburg,et al. The Correlation Theory of Brain Function , 1994 .
[71] H H Bülthoff,et al. How are three-dimensional objects represented in the brain? , 1994, Cerebral cortex.
[72] Rolf P. Würtz,et al. Multilayer dynamic link networks for establishing image point correspondences and visual object recognition , 1995 .
[73] N. Logothetis,et al. Shape representation in the inferior temporal cortex of monkeys , 1995, Current Biology.
[74] Norbert Krüger,et al. Face Recognition and Gender determination , 1995 .
[75] Joachim M. Buhmann,et al. Regularizing phase-based stereo , 1996, Proceedings of 13th International Conference on Pattern Recognition.
[76] Gérard G. Medioni,et al. Inference of segmented, volumetric shape from three intensity images , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[77] Michael Hansen,et al. Real Time Pursuit and Vergence Control with an Active Binocular Head , 1996, AMS.
[78] Christoph von der Malsburg,et al. Edge Information: A Confidence Based Algorithm Emphazising Continuous Curves , 1996, ICANN.
[79] Keiji Tanaka,et al. Inferotemporal cortex and object vision. , 1996, Annual review of neuroscience.
[80] David J. Field,et al. Sparse coding with an overcomplete basis set: A strategy employed by V1? , 1997, Vision Research.
[81] Bartlett W. Mel. SEEMORE: Combining Color, Shape, and Texture Histogramming in a Neurally Inspired Approach to Visual Object Recognition , 1997, Neural Computation.
[82] Joachim M. Buhmann,et al. Data clustering and learning , 1998 .
[83] Jochen Triesch,et al. Object Recognition with Multiple Feature Types , 1998 .
[84] John P. Frisby. Stereo correspondence and neural networks , 1998 .
[85] Joachim M. Buhmann,et al. Stochastic Algorithms for Exploratory Data Analysis: Data Clustering and Data Visualization , 1998, Learning in Graphical Models.
[86] A. Hurlbert,et al. Perception of three-dimensional shape influences colour perception through mutual illumination , 1999, Nature.
[87] Jochen Triesch,et al. GripSee: A Gesture-Controlled Robot for Object Perception and Manipulation , 1999, Auton. Robots.
[88] Jochen Triesch,et al. Vision based robotic gesture recognition , 1999 .
[89] Jochen Triesch,et al. Towards Imitation Learning of Grasping Movements by an Autonomous Robot , 1999, Gesture Workshop.
[90] Rolf P. Würtz,et al. An integrated object representation for recognition and grasping , 1999, 1999 Third International Conference on Knowledge-Based Intelligent Information Engineering Systems. Proceedings (Cat. No.99TH8410).
[91] J. C. Johnston,et al. Attention and performance. , 2001, Annual review of psychology.
[92] Refractor. Vision , 2000, The Lancet.
[93] M. Hasselmo,et al. Object-centered encoding by face-selective neurons in the cortex in the superior temporal sulcus of the monkey , 2004, Experimental Brain Research.
[94] Ramakant Nevatia,et al. Volumetric descriptions from a single intensity image , 1996, International Journal of Computer Vision.
[95] Christoph von der Malsburg,et al. Self Calibration of the Fixation Movement of a Stereo Camera Head , 2004, Machine Learning.
[96] Shimon Ullman,et al. Recognizing solid objects by alignment with an image , 1990, International Journal of Computer Vision.
[97] Demetri Terzopoulos,et al. Snakes: Active contour models , 2004, International Journal of Computer Vision.
[98] M. Harries,et al. Viewer-centred and object-centred coding of heads in the macaque temporal cortex , 2004, Experimental Brain Research.
[99] David J. Fleet,et al. Performance of optical flow techniques , 1994, International Journal of Computer Vision.
[100] Juyang Weng,et al. Image matching using the windowed Fourier phase , 1993, International Journal of Computer Vision.
[101] Rajeev Ramanath,et al. Color Perception , 2008, Wiley Encyclopedia of Computer Science and Engineering.
[102] Nicholas J. Butko,et al. Active perception , 2010 .
[103] Wilhelm Burger,et al. Digital Image Processing - An Algorithmic Introduction using Java , 2008, Texts in Computer Science.
[104] Leonie Kohl,et al. Mental Images And Their Transformations , 2016 .