Computational Modeling Publications
Knill, D. C. (2003) Mixture models and the probabilistic
structure of depth cues, Vision Research , 43 (7),
831-854. [PDF File]Knill, D. C. (2001) Contour into texture: The information content of surface contours and texture flow, Journal of the Optical Society A, 18 (1), 12-36. [PDF File]Knill, D. C. (1998) Surface orientation from texture: Ideal observers, generic observers and the information content of texture cues, Vision Research, 38 (11), 1655-1682. [PDF File]Knill, D. C., Mamassian, P. and Kersten, D. (1997) The geometry of shadows, Journal of the Optical Society of America A, 14 (12), 3216-3232. [PDF File]Knill, D. C., Kersten, D. and Yuille, A. (1996) A Bayesian formulation of visual perception, in (Knill, D. C. and Richards, W., eds.) Perception as Bayesian Inference, Cambridge University Press. Jepson, A., Richards, W. and Knill, D.C. (1996) Modal structure and reliable inference; in (Knill, D. C. and Richards, W., eds.) Perception as Bayesian Inference, Cambridge University Press. Knill, D. C. & Kersten, D. (1991) Ideal perceptual observers for computation, psychophysics and neural networks. In (R. Watt, Ed.) Vision and Visual Dysfunction, Vol.14: Pattern Recognition by Man and Machine, MacMillan Press, New York, NY. Knill, D. C. & Kersten, D. (1990) Learning a near-optimal estimator for surface shape from shading. Computer Vision, Graphics and Image Processing, 50, 75-100. Knill, D. C. (1990) Estimating illuminant direction and degree of surface relief. Journal of the Optical Society of America A, 7 (4), 759-775. [PDF File]Kersten, D., O'toole, A. J., Sereno, M. E., Knill, D. C. & Anderson, J.A. (1987) Associative learning of scene parameters from images. Applied Optics, 26 (23), 4999-5006. |
