Distinguishing shiny from matte

Visual Appearance of Matte

All visual sensors, biological and arti cial, are nite in resolution by necessity. This causes the e ective re ectance of surfaces in a scene to vary with magni cation. A reectance model for matte surfaces is described that captures the e ect of macroscopic surface undulations on image brightness. The model takes into account complex physical phenomena such as masking, shadowing and interre ect...

Improving alpha matte with depth information

In this paper, we propose an automatic alpha matting method that improves the quality of alpha matte using a depth camera. Depth camera obtains both visual and depth information of moving objects in real time. Our matting method improves existing natural alpha matting methods by adding depth information. Experimental results demonstrate that our matting method generates better results than the ...

Matte Super-Resolution for Compositing

Super-resolution of the alpha matte and the foreground object from a video are jointly attempted in this paper. Instead of superresolving them independently, we treat super-resolution of the matte and foreground in a combined framework, incorporating the matting equation in the image degradation model. We take multiple adjacent frames from a low-resolution video with non-global motion for incre...

A Bright, Shiny Future

Visual appearance of matte surfaces.

All visual sensors, biological and artificial, are finite in resolution by necessity. As a result, the effective reflectance of surfaces in a scene varies with magnification. A reflectance model for matte surfaces is described that incorporates the effect of macroscopic surface undulations on image brightness. The model takes into account complex physical phenomena such as masking, shadowing, a...