Combining Color and Geometry for the Active, Visual Recognition of Shadows
Abstract
Shadows are a frequent occurrence, but they cannot be infallibly recognized until a scene's geometry and lighting are known. We present a number of cues which together strongly suggest the identification of a shadow and which can be examined with low cost. The techniques are: a color image segmentation method that recovers single material surfaces as single image regions irregardless of the surface partially in shadow, a method to recover the penumbra and umbra of shadow; a method for determining whether some object could be obstructing a light source. The last cue requires the examination of well understood shadows in the scene. Our observer is equipped with an extendable probe for casting its own shadows. Actively obtained shadows allow the observer to experimentally determine the location of the light sources in the scene. The system has been tested both indoors and out.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Cite
Text
Funka-Lea and Bajcsy. "Combining Color and Geometry for the Active, Visual Recognition of Shadows." IEEE/CVF International Conference on Computer Vision, 1995. doi:10.1109/ICCV.1995.466785Markdown
[Funka-Lea and Bajcsy. "Combining Color and Geometry for the Active, Visual Recognition of Shadows." IEEE/CVF International Conference on Computer Vision, 1995.](https://mlanthology.org/iccv/1995/funkalea1995iccv-combining/) doi:10.1109/ICCV.1995.466785BibTeX
@inproceedings{funkalea1995iccv-combining,
title = {{Combining Color and Geometry for the Active, Visual Recognition of Shadows}},
author = {Funka-Lea, Gareth and Bajcsy, Ruzena},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {1995},
pages = {203-209},
doi = {10.1109/ICCV.1995.466785},
url = {https://mlanthology.org/iccv/1995/funkalea1995iccv-combining/}
}