Results 251 to 260 of about 1,741,443 (291)

A Unified Framework for Scene Illuminant Estimation

Procedings of the British Machine Vision Conference 2004, 2004
Most existing illuminant estimation algorithms work with assumptions of specific source types (e.g. directional light source or point light source). The assumptions bring up two main limitations which significantly restrict their applicabilities: first, the prior knowledge about source types is needed; second, it can not handle complex scenes where ...
Wei Zhou, Chandra Kambhamettu
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Face-Based Illuminant Estimation

2012
In this work we show that it is possible to use skin tones to estimate the illuminant color. We use a face detector to find faces in the scene, and the corresponding skin colors to estimate the chromaticity of the illuminant. The method, that has been presented at CVPR 2012 [1] is based on two observations: first, skin colors tend to form a cluster in ...
Simone Bianco 0001, Raimondo Schettini
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Accurate estimation of the illumination pattern’s orientation and wavelength in sinusoidal structured illumination microscopy [PDF]

Applied Optics, 2018
Structured illumination microscopy is able to improve the spatial resolution of wide-field fluorescence imaging by applying sinusoidal stripe pattern illumination to the sample.
Balpreet S Ahluwalia, Kedar Khare
exaly   +2 more sources

Corrected-Moment Illuminant Estimation

2013 IEEE International Conference on Computer Vision, 2013
Image colors are biased by the color of the prevailing illumination. As such the color at pixel cannot always be used directly in solving vision tasks from recognition, to tracking to general scene understanding. Illuminant estimation algorithms attempt to infer the color of the light incident in a scene and then a color cast removal step discounts the
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Estimation of illuminator scintillation in laser-illuminated imagery

SPIE Proceedings, 2013
It is well known that atmospheric turbulence corrupts the phase front of laser beam propagation. The phase distortions manifest themselves as intensity fluctuations when the beam is propagated over some distance. This intensity fluctuation is often referred to as scintillation.
David C. Dayton, James B. Lasche
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Illumination estimation for augmented reality based on a global illumination model

Multimedia Tools and Applications, 2019
With the rapid development of 3D technology, the illumination consistency plays an important role in realistic rendering of virtual objects which are superimposed into the real scene. In this paper we proposed a new approach to estimate illumination, given the images of a scene.
Aijia Zhang, Yan Zhao 0012, Shigang Wang 0003   +2 more
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Using the red chromaticity for illumination estimation

2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA), 2015
Achieving color invariance to illumination is known as color constancy and it is implemented in most digital cameras. There are statistics-based and learning-based computational color constancy methods and the latter ones are known to be more accurate.
Nikola Banic, Sven Loncaric
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Estimation of color under fluorescent illuminants

Proceedings of 1st International Conference on Image Processing, 2002
Fluorescent lamps are the most common lighting source for desktop publishing and standard viewing conditions. In order to predict the appearance of reflective material viewed under fluorescent lamps, the CIE tristimulus values must be computed. While these values are readily computed for most smoothly varying reflectances by using a simple summation ...
H. Joel Trussell, Manish S. Kulkarni
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Factor graphs for pixelwise illuminant estimation

2015 International Joint Conference on Neural Networks (IJCNN), 2015
This paper presents a method to recover the pixel-wise illuminant colour for scenes lit by multiple lights. Here, we start from the image formation process and pose the illuminant recovery task in hand into an evidence combining setting. To do this, we construct a factor graph making use of the scale space of the input image and a set of illuminant ...
Lawrence Mutimbu, Antonio Robles-Kelly
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Estimation Illumination Chromaticity

2008 Second International Symposium on Intelligent Information Technology Application, 2008
Color constancy is important for pattern recognition and image understanding. Based on simplified BRDF model, we use voting method to detect the high light areas. Then the pixels in the high light areas are projected to the inverse-intensity space.
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