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Funt et al., 2012 - Google Patents

Removing outliers in illumination estimation

Funt et al., 2012

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Document ID
15885701934432385014
Author
Funt B
Mosny M
Publication year
Publication venue
Color and Imaging Conference

External Links

Snippet

A method of outlier detection is proposed as a way of improving illumination-estimation performance in general, and for scenes with multiple sources of illumination in particular. Based on random sample consensus (RANSAC), the proposed method (i) makes estimates …
Continue reading at library.imaging.org (PDF) (other versions)

Classifications

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    • G06K9/4642—Extraction of features or characteristics of the image by performing operations within image blocks or by using histograms
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    • G06K9/6256—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
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    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00664—Recognising scenes such as could be captured by a camera operated by a pedestrian or robot, including objects at substantially different ranges from the camera
    • G06K9/00684—Categorising the entire scene, e.g. birthday party or wedding scene
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