Exploiting the generic viewpoint assumption

作者:William T. Freeman

摘要

The “generic viewpoint” assumption states that an observer is not in a special position relative to the scene. It is commonly used to disqualify scene interpretations that assume special viewpoints, following a binary decision that the viewpoint was either generic or accidental. In this paper, we apply Bayesian statistics to quantify the probability of a view, and so derive a useful tool to estimate scene parameters.

论文关键词:Computer Vision, Generic Variable, Genericity Term, Prior Probability, Special Position

论文评审过程:

论文官网地址:https://doi.org/10.1007/BF00208721