资源论文Covariant Derivatives and Vision

Covariant Derivatives and Vision

2020-03-27 | |  58 |   43 |   0

Abstract.
We describe a new theoretical approach to Image Process- ing and Vision. Expressed in mathemetical terminology, in our formalism image space is a fibre bundle, and the image itself is the graph of a sec- tion on it. This mathematical model has advantages to the conventional view of the image as a function on the plane: Based on the new method we are able to do image processing of the image as viewed by the human visual system, which includes adaptation and perceptual correctness of the results. Our formalism is invariant to relighting and handles seam- lessly illumination change. It also explains simultaneous contrast visual illusions, which are intrinsically related to the new covariant approach. Examples include Poisson image editing, Inpainting, gradient domain HDR compression, and others.

上一篇:Figure/Ground Assignment in Natural Images

下一篇:Resolution-Aware Fitting of Active Appearance Models to Low Resolution Images

用户评价
全部评价

热门资源

  • The Variational S...

    Unlike traditional images which do not offer in...

  • Stratified Strate...

    In this paper we introduce Stratified Strategy ...

  • Learning to learn...

    The move from hand-designed features to learned...

  • A Mathematical Mo...

    Direct democracy, where each voter casts one vo...

  • Learning to Predi...

    Much of model-based reinforcement learning invo...