Procedural elements for computer graphics
Procedural elements for computer graphics
A method for computing spectral reflectance
Biological Cybernetics
The Art of Electronics
Modeling Light Reflection for Computer Color Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
A novel algorithm for color constancy
International Journal of Computer Vision
International Journal of Computer Vision
Recovery of illuminant and surface colors from images based on the CIE daylight
ECCV '94 Proceedings of the third European conference on Computer Vision (Vol. II)
Reflectance and texture of real-world surfaces
ACM Transactions on Graphics (TOG)
Illumination for computer generated pictures
Communications of the ACM
Neural Network Perception for Mobile Robot Guidance
Neural Network Perception for Mobile Robot Guidance
Astronomical Formulae for Calculators
Astronomical Formulae for Calculators
Robot Vision
Vision and Navigation: The Carnegie Mellon Navlab
Vision and Navigation: The Carnegie Mellon Navlab
Computer Graphics
Color Space Analysis of Mutual Illumination
IEEE Transactions on Pattern Analysis and Machine Intelligence
Goal-Directed Classification Using Linear Machine Decision Trees
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Is Machine Colour Constancy Good Enough?
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Color constancy in diagonal chromaticity space
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Bayesian decision theory, the maximum local mass estimate, and color constancy
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Color constancy under varying illumination
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Color by Correlation: A Simple, Unifying Approach to Color Constancy
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Estimating Scene Properties from Color Histograms
Estimating Scene Properties from Color Histograms
Color-based models for outdoor machine vision
Color-based models for outdoor machine vision
Color Recognition in Outdoor Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Learning Outdoor Color Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
What Do the Sun and the Sky Tell Us About the Camera?
International Journal of Computer Vision
Estimating the Natural Illumination Conditions from a Single Outdoor Image
International Journal of Computer Vision
Color recognition with compact color features
International Journal of Communication Systems
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This study develops models for illumination and surface reflectance for use in outdoor color vision, and in particular for predicting the color of surfaces under outdoor conditions. Existing daylight and reflectance models have limitations that reduce their applicability in outdoor contexts. This work makes three specific contributions: (i) an explanation of why the current standard CIE daylight model cannot be used to predict the color of light incident on outdoor surfaces, (ii) a model (table) of the measured color of daylight for a broad range of sky conditions, and (iii) a simplified adaptation of the dichromatic reflectance model for use with the developed daylight model. A series of experiments measure the accuracy of the daylight and reflectance models, and their applicability to outdoor color vision applications, by predicting the colors of surfaces in real images.