Bayesian Color Constancy Revisited
时间: 2024-05-22 18:11:28 浏览: 20
"Bayesian Color Constancy Revisited" is a research paper that revisits the Bayesian framework for color constancy. Color constancy refers to the ability of the human visual system to perceive the color of an object as constant, even when the illumination conditions change. The Bayesian framework models this ability by considering the prior probabilities of the colors of the objects in the scene and the likelihood of the observed colors given the illumination conditions.
The paper presents a new approach to Bayesian color constancy that is based on a novel color prior model. This model takes into account the joint probabilities of the colors of the objects in the scene, rather than assuming that they are independent. The authors show that this new model outperforms previous models on a standard color constancy dataset.
Overall, the paper contributes to the ongoing research on color constancy and provides a new approach that could be useful in practical applications such as image processing and computer vision.