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Illumination Invariant Motion Estimation and Segmentation

2011
Extracting moving objects from their background or partitioning them have been one of the most prerequisite tasks for various computer vision applications such as surveillance, tracking, human machine interface, etc. Though many previous approaches have been working in a certain level, still they are not robust under various unexpected situation such ...
Yeonho Kim, Sooyeong Yi
openaire   +1 more source

Dual-Illumination Weighting and Estimation

2022 26th International Conference on Pattern Recognition (ICPR), 2022
Xiaoyan Xing   +3 more
openaire   +2 more sources

Illuminant Estimation: Beyond the Bases

Color and Imaging Conference, 2000
Jeffrey M. DiCarlo, Brian A. Wandell
openaire   +1 more source

Illuminant Estimation by Voting

2009
Obtaining an estimate of the illuminant color is an important component in many image analysis applications. Due to the complexity of the problem many estrictive assumptions are commonly applied, making the existing illuminant estimation methodologies not widely applicable on natural images.
Riess, Christian   +2 more
openaire   +1 more source

Illumination estimation challenge: The experience of the first 2 years

Color Research and Application, 2021
Dmitry Nikolaev   +2 more
exaly  

Removing Outliers in Illumination Estimation

Color and Imaging Conference, 2012
Brian V. Funt, Milan Mosny
openaire   +2 more sources

Rank-Based Illumination Estimation

Color and Imaging Conference, 2013
Lilong Shi, Brian V. Funt
openaire   +2 more sources

Physically-plausible illumination distribution estimation

2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023
Egor I. Ershov   +3 more
openaire   +2 more sources

Deep Neural Models for Illumination Estimation and Relighting: A Survey

Computer Graphics Forum, 2021
Jean-Yves Guillemaut, Adrian Hilton
exaly  

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