Shape-Adapted Smoothing in Estimation of 3-D Depth Cues from Affine Distortions of Local 2-D Brightness Structure
Abstract
Rotationally symmetric operations in the image domain may give rise to shape distortions. This article describes a way of reducing this effect for a general class of methods for deriving 3-D shape cues from 2-D image data, which are based on the estimation of locally linearized distortion of brightness patterns. By extending the linear scale-space concept into an affine scale-space representation and performing affine shape adaption of the smoothing kernels, the accuracy of surface orientation estimates derived from texture and disparity cues can be improved by typically one order of magnitude. The reason for this is that the image descriptors, on which the methods are based, will be relative invariant under affine transformations, and the error will thus be confined to the higher-order terms in the locally linearized perspective mapping.
Cite
Text
Lindeberg and Gårding. "Shape-Adapted Smoothing in Estimation of 3-D Depth Cues from Affine Distortions of Local 2-D Brightness Structure." European Conference on Computer Vision, 1994. doi:10.1007/3-540-57956-7_42Markdown
[Lindeberg and Gårding. "Shape-Adapted Smoothing in Estimation of 3-D Depth Cues from Affine Distortions of Local 2-D Brightness Structure." European Conference on Computer Vision, 1994.](https://mlanthology.org/eccv/1994/lindeberg1994eccv-shape/) doi:10.1007/3-540-57956-7_42BibTeX
@inproceedings{lindeberg1994eccv-shape,
title = {{Shape-Adapted Smoothing in Estimation of 3-D Depth Cues from Affine Distortions of Local 2-D Brightness Structure}},
author = {Lindeberg, Tony and Gårding, Jonas},
booktitle = {European Conference on Computer Vision},
year = {1994},
pages = {389-400},
doi = {10.1007/3-540-57956-7_42},
url = {https://mlanthology.org/eccv/1994/lindeberg1994eccv-shape/}
}