Papers Color Constancy
“Color Constancy” 태그가 달린 논문 114편 · 필터 해제
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. Giving a machine this feature will be beneficial in many fields where chromatic information is use…
Color ConstancyObject RecognitionScene UnderstandingTransfer LearningConditional 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. Non-uniform illumination and shadows distort colors of…
Color ConstancyGenerative Adversarial NetworkShadow DetectionShadow Detection And Removal+1Color naming guided intrinsic image decomposition
Intrinsic image decomposition is a severely under-constrained problem. User interactions can help to reduce the ambiguity of the decomposition considerably. The traditional way of user interaction is to draw scribbles th…
Color ConstancyIntrinsic Image DecompositionDecoupling 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. The effectiveness of the architecture is demonstrated on Color-Constancy use case an inh…
Color ConstancyColor 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 interpretabili…
Color ConstancyDeep LearningLearning Illuminant Estimation from Object Recognition
In this paper we present a deep learning method to estimate the illuminant of an image. Our model is not trained with illuminant annotations, but with the objective of improving performance on an auxiliary task such as o…
Color ConstancyDeep LearningObjectObject RecognitionRevisiting Gray Pixel for Statistical Illumination Estimation
We present a statistical color constancy method that relies on novel gray pixel detection and mean shift clustering. The method, called Mean Shifted Grey Pixel -- MSGP, is based on the observation: true-gray pixels are a…
ClusteringColor ConstancyGreen Stability Assumption: Unsupervised Learning for Statistics-Based Illumination Estimation
In the image processing pipeline of almost every digital camera there is a part dedicated to computational color constancy i.e. to removing the influence of illumination on the colors of the image scene. Some of the best…
Color ConstancySemantic White Balance: Semantic Color Constancy Using Convolutional Neural Network
The goal of computational color constancy is to preserve the perceptive colors of objects under different lighting conditions by removing the effect of color casts caused by the scene's illumination. With the rapid devel…
Color ConstancySemantic SegmentationFully Point-wise Convolutional Neural Network for Modeling Statistical Regularities in Natural Images
Modeling statistical regularity plays an essential role in ill-posed image processing problems. Recently, deep learning based methods have been presented to implicitly learn statistical representation of pixel distributi…
Color ConstancyDiversityImage DehazingUnsupervised Learning for Color Constancy
Most digital camera pipelines use color constancy methods to reduce the influence of illumination and camera sensor on the colors of scene objects. The highest accuracy of color correction is obtained with learning-based…
Color ConstancyRecurrent Color Constancy
We introduce a novel formulation of temporal color constancy which considers multiple frames preceding the frame for which illumination is estimated. We propose an end-to-end trainable recurrent color constancy network -…
Color ConstancyFC4: Fully Convolutional Color Constancy With Confidence-Weighted Pooling
Improvements in color constancy have arisen from the use of convolutional neural networks (CNNs). However, the patch-based CNNs that exist for this problem are faced with the issue of estimation ambiguity, where a patch …
Color ConstancyA Lightweight Approach for On-the-Fly Reflectance Estimation
Estimating surface reflectance (BRDF) is one key component for complete 3D scene capture, with wide applications in virtual reality, augmented reality, and human computer interaction. Prior work is either limited to cont…
Color ConstancyINTEL-TUT Dataset for Camera Invariant Color Constancy Research
In this paper, we provide a novel dataset designed for camera invariant color constancy research. Camera invariance corresponds to the robustness of an algorithm's performance when run on images of the same scene taken b…
Color ConstancyData-Driven Color Augmentation Techniques for Deep Skin Image Analysis
Dermoscopic skin images are often obtained with different imaging devices, under varying acquisition conditions. In this work, instead of attempting to perform intensity and color normalization, we propose to leverage co…
Color ConstancyColor NormalizationData AugmentationLesion Classification+3Functions that Emerge through End-to-End Reinforcement Learning - The Direction for Artificial General Intelligence -
Recently, triggered by the impressive results in TV-games or game of Go by Google DeepMind, end-to-end reinforcement learning (RL) is collecting attentions. Although little is known, the author's group has propounded thi…
Color ConstancyGame of Goreinforcement-learningReinforcement Learning+2Automated Linear-Time Detection and Quality Assessment of Superpixels in Uncalibrated True- or False-Color RGB Images
Capable of automated near real time superpixel detection and quality assessment in an uncalibrated monitor typical red green blue (RGB) image, depicted in either true or false colors, an original low level computer visio…
Color ConstancyComputational EfficiencyEarth ObservationQuantization+1Color Constancy with Derivative Colors
Information about the illuminant color is well contained in both achromatic regions and the specular components of highlight regions. In this paper, we propose a novel way to achieve color constancy by exploiting such cl…
Color ConstancyDensity EstimationFast Fourier Color Constancy
We present Fast Fourier Color Constancy (FFCC), a color constancy algorithm which solves illuminant estimation by reducing it to a spatial localization task on a torus. By operating in the frequency domain, FFCC produces…
Color Constancy