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Non-parametric Filtering for Geometric Detail Extraction and Material Representation
AbstractGeometric detail is a universal phenomenon in real world objects. It is an important component in object modeling, but not accounted for in current intrinsic image works. In this work, we explore using a non-parametric method to separate geometric detail from intrinsic image components. We further decompose an image as albedo * (coarse-scale shading + shading detail). Our decomposition offers quantitative improvement in albedo recovery and material classification.Our method also enables interesting image editing activities, including bump removal, geometric detail smoothing/enhancement and material transfer.
Related Material
[pdf][bibtex]@InProceedings{Liao_2013_CVPR,
author = {Liao, Zicheng and Rock, Jason and Wang, Yang and Forsyth, David},
title = {Non-parametric Filtering for Geometric Detail Extraction and Material Representation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2013}
}
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