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Color Constancy by Deep Learning [PDF]
, 2015 Computational color constancy aims to estimate the color of the light source. The performance of many vision tasks, such as object detection and scene understanding, may benefit from color constancy by estimating the correct object colors.
Lou, Z. +7 more
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CNN-Based Illumination Estimation with Semantic Information
Applied Sciences, 2020 For more than a decade, both academia and industry have focused attention on the computer vision and in particular the computational color constancy (CVCC).
Ho-Hyoung Choi +2 more
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Journal of Big Data, 2022 Introduction Detecting failure cases is critical to ensure a secure self-driving system. Any flaw in the system directly results in an accident. In genuine class, the model’s probability reflects better-reflected model confidence.
Hayat Al-Dmour
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A Framework for Computer Simulation of Color Constancy Experiments
Rad Hrvatske akademije znanosti i umjetnosti. Tehničke znanosti, 2023 Color constancy is an important property of the human visual system (HVS), as it allows us to discern the colors of objects independent of the colors of the light that illuminates them. Experimental color constancy has been a long-studied topic in the field of human perception. With the advent of modern technology and an increase in computing power, as
Lončarić, Sven +3 more
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Deep structured-output regression learning for computational color constancy [PDF]
2016 23rd International Conference on Pattern Recognition (ICPR), 2016 Computational color constancy that requires esti- mation of illuminant colors of images is a fundamental yet active problem in computer vision, which can be formulated into a regression problem. To learn a robust regressor for color constancy, obtaining meaningful imagery features and capturing latent correlations across output variables play a vital ...
Yanlin Qian +4 more
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Cascading Convolutional Color Constancy
, 2020 Regressing the illumination of a scene from the representations of object appearances is popularly adopted in computational color constancy. However, it's still challenging due to intrinsic appearance and label ambiguities caused by unknown illuminants ...
Yu, Huanglin +5 more
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Addressing Once More the (Im)possibility of Color Reconstruction in Underwater Images
Journal of ImagingColor is an important cue in object recognition and classification problems. In underwater imagery, colors undergo strong distortion due to light propagation through an absorbing and scattering medium. Distortions depend on a number of complex phenomena,
Yuri Rzhanov, Kim Lowell
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Investigating Color Illusions from the Perspective of Computational Color Constancy
, 2023 Color constancy and color illusion perception are two phenomena occurring in the human visual system, which can help us reveal unknown mechanisms of human perception. For decades computer vision scientists have developed numerous color constancy methods,
Ebner, Marc +2 more
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Single Pixel Spectral Color Constancy
, 2023 <p>Color constancy is still one of the biggest challenges in camera color processing. Convolutional neural networks have been able to improve the situation but there are still problems in many conditions, especially in scenes where a single color ...
Samu Koskinen +5 more
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Human color constancy based on the geometry of color distributions [PDF]
, 2021 The physical inputs to our visual system are dictated by the interplay between lights and surfaces; thus, for surface color to be stably perceived, the influence of the illuminant must be discounted.
Kazuho Fukuda +3 more
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