Color Constancy
35 papers with code • 1 benchmarks • 5 datasets
Color Constancy is the ability of the human vision system to perceive the colors of the objects in the scene largely invariant to the color of the light source. The task of computational Color Constancy is to estimate the scene illumination and then perform the chromatic adaptation in order to remove the influence of the illumination color on the colors of the objects in the scene.
Benchmarks
These leaderboards are used to track progress in Color Constancy
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
INTEL-TAU
VegFru
Rendered WB dataset
Cube++
LSMI
Latest papers
Convolutional Neural Networks Can Be Deceived by Visual Illusions
alviur/convnets_vs_vi
•
•
CVPR 2019
In particular, we show that CNNs trained for image denoising, image deblurring, and computational color constancy are able to replicate the human response to visual illusions, and that the extent of this replication varies with respect to variation in architecture and spatial pattern size.
DeepIlluminance: Contextual Illuminance Estimation via Deep Neural Networks
pencilzhang/DeepIlluminance-computational-color-constancy
•
•
First, the contextual net with a center-surround architecture extracts local contextual features from image patches, and generates initial illuminant estimates and the corresponding color corrected patches.
Learning Matchable Image Transformations for Long-term Metric Visual Localization
utiasSTARS/matchable-image-transforms
•
•
Long-term metric self-localization is an essential capability of autonomous mobile robots, but remains challenging for vision-based systems due to appearance changes caused by lighting, weather, or seasonal variations.
Spectral Illumination Correction: Achieving Relative Color Constancy Under the Spectral Domain
zyfccc/Spectral-Illumination-Correction-Achieving-Relative-Color-Constancy-Under-the-Spectral-Domain
•
•
2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) 2018
Achieving color constancy between and within images, i. e., minimizing the color difference between the same object imaged under nonuniform and varied illuminations is crucial for computer vision tasks such as colorimetric analysis and object recognition.
The Visual Centrifuge: Model-Free Layered Video Representations
albert100121/MLVR-Pytorch
•
•
CVPR 2019
True video understanding requires making sense of non-lambertian scenes where the color of light arriving at the camera sensor encodes information about not just the last object it collided with, but about multiple mediums -- colored windows, dirty mirrors, smoke or rain.
Artificial Color Constancy via GoogLeNet with Angular Loss Function
Color Constancy is the ability of the human visual system to perceive colors unchanged independently of the illumination.
Conditional GANs for Multi-Illuminant Color Constancy: Revolution or Yet Another Approach?
Non-uniform and multi-illuminant color constancy are important tasks, the solution of which will allow to discard information about lighting conditions in the image.
Decoupling Semantic Context and Color Correlation with multi-class cross branch regularization
This paper presents a novel design methodology for architecting a light-weight and faster DNN architecture for vision applications.
Color Constancy by Reweighting Image Feature Maps
In this study, a novel illuminant color estimation framework is proposed for computational color constancy, which incorporates the high representational capacity of deep-learning-based models and the great interpretability of assumption-based models.
Revisiting Gray Pixel for Statistical Illumination Estimation
We present a statistical color constancy method that relies on novel gray pixel detection and mean shift clustering.
