Adaptive Manifolds for Real-Time High-Dimensional Filtering
Application Examples
For up-to-date information refer to our Project Website:
http://inf.ufrgs.br/~eslgastal/AdaptiveManifolds
This document contains various examples illustrating some of the possible
applications of our adaptive-manifold high-dimensional filter. Click on any
image to open it in its original size.
Important: These materials are best viewed in a web
browser that is not Internet Explorer (IE), since it cannot resize the
images properly. Furthermore, in IE you might need to allow ActiveX content
to display the images.
Click on any image to open it in its original size.
Edge-Aware Smoothing
Non-Local Means Denoising
Denoising with Additional Information
Detail Enhancement
Indirect Illumination Filtering
For these examples filtering was performed in a 8-D dimensional space,
composed of 3-D scene position, 3-D normal vectors, and 2-D image space
coordinates. The standard deviations of the filter were SIGMA_S = 32, SIGMA_NORMALS = 0.2, SIGMA_POSITIONS = 0.2. The scene lies inside a [-1,1]^3 cube.