New colour SIFT descriptors for image classification with applications to biometrics
International Journal of Biometrics
A standardised polarisation visualisation for images
Proceedings of the 26th Spring Conference on Computer Graphics
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: models and applications - Volume Part II
Technical Section: Using color in visualization: A survey
Computers and Graphics
A Computational Model of Afterimages
Computer Graphics Forum
Integrating particle dispersion models into real-time virtual environments
EGVE'08 Proceedings of the 14th Eurographics conference on Virtual Environments
Novel color Gabor-LBP-PHOG (GLP) descriptors for object and scene image classification
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
Gabor-Based novel local, shape and color features for image classification
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
Novel Gabor-PHOG features for object and scene image classification
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
New color GPHOG descriptors for object and scene image classification
Machine Vision and Applications
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Designed for computer graphics, oRGB is a new color model based on opponent color theory. It works well for both HSV-style color selection and computational applications such as color transfer. oRGB also enables new applications such as a quantitative cool-to-warm metric, intuitive color manipulation and variations, and simple gamut mapping.