Finding point correspondences using simulated annealing

[1]  R M Haralick,et al.  Relational matching. , 1994, Applied optics.

[2]  Chwan-Hwa John Wu,et al.  Introducing rotation invariance into the Neocognitron model for target recognition , 1993, Pattern Recognit. Lett..

[3]  Ian T. Young,et al.  Localization of circular objects , 1993, Pattern Recognit. Lett..

[4]  Jake K. Aggarwal,et al.  Estimation of motion from a pair of range images: A review , 1991, CVGIP Image Underst..

[5]  Edward J. Delp,et al.  A cost minimization approach to edge detection using simulated annealing , 1989, Proceedings CVPR '89: IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[6]  Thomas S. Huang,et al.  Motion and structure from orthographic projections , 1988, [1988 Proceedings] 9th International Conference on Pattern Recognition.

[7]  Thomas S. Huang,et al.  Finding point correspondences and determining motion of a rigid object from two weak perspective views , 1988, Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition.

[8]  Bruce E. Hajek,et al.  Cooling Schedules for Optimal Annealing , 1988, Math. Oper. Res..

[9]  Kim L. Boyer,et al.  Structural Stereopsis for 3-D Vision , 1988, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  Thomas S. Huang,et al.  Maximal matching of 3-D points for multiple-object motion estimation , 1988, Pattern Recognit..

[11]  Lane A. Hemaspaandra,et al.  Using simulated annealing to design good codes , 1987, IEEE Trans. Inf. Theory.

[12]  Stephen T. Barnard,et al.  A Stochastic Approach to Stereo Vision , 1986, AAAI.

[13]  D. Mitra,et al.  Convergence and finite-time behavior of simulated annealing , 1985, 1985 24th IEEE Conference on Decision and Control.

[14]  Paolo Carnevali,et al.  Image Processing by Simulated Annealing , 1985, IBM J. Res. Dev..

[15]  B. Gidas.  Nonstationary Markov chains and convergence of the annealing algorithm , 1985 .

[16]  Takeo Kanade,et al.  Stereo by Intra- and Inter-Scanline Search Using Dynamic Programming , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

[18]  Scott Kirkpatrick,et al.  Optimization by simulated annealing: Quantitative studies , 1984 .

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

[20]  Steven W. Zucker,et al.  On the Foundations of Relaxation Labeling Processes , 1983, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[21]  Robert M. Haralick,et al.  Structural Descriptions and Inexact Matching , 1981, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[22]  S. Ullman,et al.  The Interpretation of Visual Motion , 1981 .

[23]  Tomaso Poggio,et al.  A Theory of Human Stereo Vision , 1977 .

[24]  William B. Thompson,et al.  Disparity Analysis of Images , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[25]  Albert Yonas,et al.  Perception of structure from motion , 1995 .

[26]  George Vosselman,et al.  Relational Matching , 1992, Lecture Notes in Computer Science.

[27]  V. Cerný.  Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm , 1985 .

[28]  P. Carnevali,et al.  Image processing by stimulated annealing , 1985 .