Computer Vision: Past and Future
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[1] Ulf Grenander,et al. A Unified Approach to Pattern Analysis , 1970, Adv. Comput..
[2] Lawrence G. Roberts,et al. Machine Perception of Three-Dimensional Solids , 1963, Outstanding Dissertations in the Computer Sciences.
[3] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[4] I Biederman,et al. To what extent can matching algorithms based on direct outputs of spatial filters account for human object recognition? , 1996, Spatial vision.
[5] Emanuele Trucco,et al. Introductory techniques for 3-D computer vision , 1998 .
[6] Timothy F. Cootes,et al. A mixture model for representing shape variation , 1999, Image Vis. Comput..
[7] M. Turk,et al. Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.
[8] Ernst D. Dickmanns,et al. Vehicles Capable of Dynamic Vision: A New Breed of Technical Beings? , 1998, Artif. Intell..
[9] Andrew P. Witkin,et al. Scale-Space Filtering , 1983, IJCAI.
[10] Olivier D. Faugeras,et al. Variational principles, surface evolution, PDEs, level set methods, and the stereo problem , 1998, IEEE Trans. Image Process..
[11] S. Zeki. A vision of the brain , 1993 .
[12] T. Poggio. A theory of how the brain might work. , 1990, Cold Spring Harbor symposia on quantitative biology.
[13] Martha J. Farah. [Visual agnosia]. , 1971, Shinkei kenkyu no shimpo. Advances in neurological sciences.
[14] Jitendra Malik,et al. Determining Three-Dimensional Shape from Orientation and Spatial Frequency Disparities , 1991, ECCV.
[15] Yehezkel Lamdan,et al. Object recognition by affine invariant matching , 2011, Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition.
[16] Kokichi Sugihara,et al. An Algebraic Approach to Shape-from-Image Problems , 1984, Artif. Intell..
[17] S. Grossberg,et al. Neural networks for vision and image processing , 1992 .
[18] Peter Johansen,et al. Gaussian Scale-Space Theory , 1997, Computational Imaging and Vision.
[19] Takeo Watanabe,et al. Neural networks for vision and image processing , 1993 .
[20] Claus B. Madsen,et al. A Viewpoint Planning Strategy for Determining True Angles on Polyhedral Objects by Camera Alignment , 1997, IEEE Trans. Pattern Anal. Mach. Intell..
[21] Thomas S. Huang,et al. Image processing , 1971 .
[22] Gunnar Sparr,et al. Perspective Area-Invariants , 1985 .
[23] S. Mallat. A wavelet tour of signal processing , 1998 .
[24] D Marr,et al. Early processing of visual information. , 1976, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[25] Richard O. Duda,et al. Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.
[26] Andrea J. van Doorn,et al. Invariant Properties of the Motion Parallax Field due to the Movement of Rigid Bodies Relative to an Observer , 1975 .
[27] Tony Lindeberg,et al. Scale-Space Theory in Computer Vision , 1993, Lecture Notes in Computer Science.
[28] Joachim M. Buhmann,et al. Distortion Invariant Object Recognition in the Dynamic Link Architecture , 1993, IEEE Trans. Computers.
[29] R. Hetherington. The Perception of the Visual World , 1952 .
[30] Michael Arbib,et al. From Vision to Action via Distributed Computation , 1997 .
[31] Robert L. Lillestrand,et al. Techniques ror Change Detection , 1972, IEEE Transactions on Computers.
[32] S Edelman,et al. A model of visual recognition and categorization. , 1997, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[33] James J. Clark,et al. Modal Control Of An Attentive Vision System , 1988, [1988 Proceedings] Second International Conference on Computer Vision.
[34] Dana H. Ballard,et al. Animate Vision , 1991, Artif. Intell..
[35] J J Koenderink,et al. Affine structure from motion. , 1991, Journal of the Optical Society of America. A, Optics and image science.
[36] Y. Bar-Shalom. Tracking and data association , 1988 .
[37] Edward H. Adelson,et al. The Design and Use of Steerable Filters , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[38] Michael Isard,et al. Contour Tracking by Stochastic Propagation of Conditional Density , 1996, ECCV.
[39] Thomas S. Huang,et al. Estimating three-dimensional motion parameters of a rigid planar patch , 1981 .
[40] Nils J. Nilsson,et al. Artificial Intelligence , 1974, IFIP Congress.
[41] I. Biederman. Recognition-by-components: a theory of human image understanding. , 1987, Psychological review.
[42] S. Nayar,et al. Early Visual Learning , 1996 .
[43] Jan-Olof Eklundh,et al. Integrating primary ocular processes , 1992, Image Vis. Comput..
[44] Thomas S. Huang,et al. Correction to "Estimating 3-D motion parameters of a rigid planar patch,II: Singular value decomposition" , 1983 .
[45] Allen M. Waxman,et al. Contour Evolution, Neighborhood Deformation, and Global Image Flow: Planar Surfaces in Motion , 1985 .
[46] Jitendra Malik,et al. Scale-Space and Edge Detection Using Anisotropic Diffusion , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[47] Yiannis Aloimonos,et al. Active vision , 2004, International Journal of Computer Vision.
[48] Michael Isard,et al. Active Contours , 2000, Springer London.
[49] O. Faugeras. Three-dimensional computer vision: a geometric viewpoint , 1993 .
[50] Hans-Hellmut Nagel,et al. Image sequence evaluation: 30 years and still going strong , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.
[51] Richard I. Hartley,et al. Estimation of Relative Camera Positions for Uncalibrated Cameras , 1992, ECCV.
[52] Bernhard P. Wrobel,et al. Multiple View Geometry in Computer Vision , 2001 .
[53] Dana H. Ballard,et al. Eye Fixation And Early Vision: Kinetic Depth , 1988, [1988 Proceedings] Second International Conference on Computer Vision.
[54] Peter J. Burt,et al. Smart sensing within a pyramid vision machine , 1988, Proc. IEEE.
[55] Olivier D. Faugeras,et al. What can be seen in three dimensions with an uncalibrated stereo rig , 1992, ECCV.
[56] Nikola Kasabov,et al. Brain-like Computing and Intelligent Information Systems , 1998 .
[57] Berthold K. P. Horn. Understanding Image Intensities , 1977, Artif. Intell..
[58] H. C. Longuet-Higgins,et al. A computer algorithm for reconstructing a scene from two projections , 1981, Nature.
[59] Refractor. Vision , 2000, The Lancet.
[60] Shimon Edelman,et al. Representation and recognition in vision , 1999 .
[61] James L. Crowley,et al. Vision as Process , 1995 .
[62] Béla Julesz,et al. Visual Pattern Discrimination , 1962, IRE Trans. Inf. Theory.
[63] N. Gordon,et al. Novel approach to nonlinear/non-Gaussian Bayesian state estimation , 1993 .
[64] D. Gabor. INFORMATION THEORY IN ELECTRON MICROSCOPY. , 1965, Laboratory investigation; a journal of technical methods and pathology.
[65] Ulf Grenander,et al. Hands: A Pattern Theoretic Study of Biological Shapes , 1990 .
[66] R. Cipolla,et al. Motion planning using image divergence and deformation , 1993 .
[67] J. Sethian. Level set methods : evolving interfaces in geometry, fluid mechanics, computer vision, and materials science , 1996 .
[68] Azriel Rosenfeld,et al. Scene Labeling by Relaxation Operations , 1976, IEEE Transactions on Systems, Man, and Cybernetics.
[69] H. Wilson. Psychophysical Evidence for Spatial Channels , 1983 .
[70] Stuart C. Shapiro,et al. Encyclopedia of artificial intelligence, vols. 1 and 2 (2nd ed.) , 1992 .
[71] T. Poggio,et al. A network that learns to recognize three-dimensional objects , 1990, Nature.
[72] Thomas O. Binford,et al. Inferring Surfaces from Images , 1981, Artif. Intell..