Probabilistic Solution of Ill-Posed Problems in Computational Vision

作者：Jose Luis Marroquin, Sanjoy K. Mitter, T. Poggio · 发表于：Journal of the American Statistical Association · 年份：1987 · DOI：10.2307/2289127 · 被引用次数：367 · 研究领域：Image and Object Detection Techniques、Image Processing Techniques and Applications

Computational vision is a set of inverse problems. We review standard regularization theory, discuss its limitations, and present new stochastic (in particular, Bayesian) methods for their solution. We derive efficient algorithms and describe parallel implementations on digital parallel SIMD architectures, as well as a new class of parallel hybrid computers.