Computational vision and regularization theory

[1]  Berthold K. P. Horn.  Robot vision , 1986, MIT electrical engineering and computer science series.

[2]  Charles G. Gross,et al.  Pattern recognition mechanisms , 1985 .

[3]  W. Daniel Hillis,et al.  The connection machine , 1985 .

[4]  F. O. Schmitt,et al.  Molecular regulators of brain function: A new view , 1984, Neuroscience.

[5]  V. A. Morozov,et al.  Methods for Solving Incorrectly Posed Problems , 1984 .

[6]  Donald Geman,et al.  Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[7]  C M Brown,et al.  Computer Vision and Natural Constraints , 1984, Science.

[8]  J J Hopfield,et al.  Neurons with graded response have collective computational properties like those of two-state neurons. , 1984, Proceedings of the National Academy of Sciences of the United States of America.

[9]  E. Hildreth.  The computation of the velocity field , 1984, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[10]  Ellen C. Hildreth,et al.  Measurement of Visual Motion , 1984 .

[11]  E. Marder.  Mechanisms underlying neurotransmitter modulation of a neuronal circuit , 1984, Trends in Neurosciences.

[12]  Geoffrey E. Hinton,et al.  Parallel visual computation , 1983, Nature.

[13]  Demetri Terzopoulos,et al.  Multilevel computational processes for visual surface reconstruction , 1983, Comput. Vis. Graph. Image Process..

[14]  E H Land,et al.  Recent advances in retinex theory and some implications for cortical computations: color vision and the natural image. , 1983, Proceedings of the National Academy of Sciences of the United States of America.

[15]  T. Poggio,et al.  A theoretical analysis of electrical properties of spines , 1983, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[16]  Andrew Blake,et al.  The least-disturbance principle and weak constraints , 1983, Pattern Recognit. Lett..

[17]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[18]  W E Grimson,et al.  A computational theory of visual surface interpolation. , 1982, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[19]  T. Poggio,et al.  Retinal ganglion cells: a functional interpretation of dendritic morphology. , 1982, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[20]  Michael Brady,et al.  Computational Approaches to Image Understanding , 1982, CSUR.

[21]  T. Poggio,et al.  Visual hyperacuity: spatiotemporal interpolation in human vision , 1981, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[22]  Eric L. W. Grimson,et al.  From Images to Surfaces: A Computational Study of the Human Early Visual System , 1981 .

[23]  Katsushi Ikeuchi,et al.  Numerical Shape from Shading and Occluding Boundaries , 1981, Artif. Intell..

[24]  Berthold K. P. Horn,et al.  Determining Optical Flow , 1981, Other Conferences.

[25]  D Marr,et al.  Directional selectivity and its use in early visual processing , 1981, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[26]  Harry G. Barrow,et al.  Interpreting Line Drawings as Three-Dimensional Surfaces , 1980, Artif. Intell..

[27]  D Marr,et al.  Theory of edge detection , 1979, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[28]  G. Shepherd,et al.  Computer simulation of a dendrodendritic synaptic circuit for self- and lateral-inhibition in the olfactory bulb , 1979, Brain Research.

[29]  Shimon Ullman,et al.  Relaxation and constrained optimization by local processes , 1979 .

[30]  T. Poggio,et al.  A computational theory of human stereo vision , 1979, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[31]  A. N. Tikhonov,et al.  Solutions of ill-posed problems , 1977 .

[32]  P. Dev,et al.  Electrotonic processing of information by brain cells. , 1976, Science.

[33]  JOHN W. Moore.  Membranes, ions, and impulses , 1976 .

[34]  J. Jack,et al.  Electric current flow in excitable cells , 1975 .

[35]  Berthold K. P. Horn,et al.  Determining lightness from an image , 1974, Comput. Graph. Image Process..

[36]  F. Plum.  Handbook of Physiology. , 1960 .

[37]  N. Metropolis,et al.  Equation of State Calculations by Fast Computing Machines , 1953, Resonance.

[38]  H. Wallach,et al.  The kinetic depth effect. , 1953, Journal of experimental psychology.

[39]  H. Barlow.  Summation and inhibition in the frog's retina , 1953, The Journal of physiology.

[40]  S. W. Kuffler.  Discharge patterns and functional organization of mammalian retina. , 1953, Journal of neurophysiology.

[41]  J. Hadamard,et al.  Lectures on Cauchy's Problem in Linear Partial Differential Equations , 1924 .