Brian V. Funt
Simon Fraser University
184 Papers
1.8K Citations
Brian V. Funt is an academic researcher from Simon Fraser University. The author has contributed to research in topics: Color constancy & Standard illuminant. The author has an hindex of 40, co-authored 177 publications. Previous affiliations of Brian V. Funt include University at Buffalo & University of British Columbia.
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Papers
A comparison of computational color constancy algorithms. I: Methodology and experiments with synthesized data
TL;DR: Algorithm performance as a function of the number of surfaces in scenes generated from reflectance spectra, the relative effect on the algorithms of added specularities, and the effect of subsequent clipping of the data is considered.
Spectral sharpening: sensor transformations for improved color constancy
TL;DR: In this paper, the spectral sharpening method is proposed to convert a given set of sensor sensitivity functions into a new set that will improve the performance of any color-constancy algorithm that is based on an independent adjustment of the sensor response channels.
Retinex in MATLAB
TL;DR: This work provides concise MATLAB™ implemen- tations of two of the spatial techniques of making pixel comparisons, along with test results on several images and a discussion of the results.
326
Is Machine Colour Constancy Good Enough
Brian V. Funt,Kobus Barnard,Lindsay Martin +2 more
- 02 Jun 1998
TL;DR: The goal was to show how well the various methods would do on an obvious machine colour vision task, namely, object recognition, and results showed the correlation between colour constancy performance and object recognition performance, and as one might expect, the better the colour constancies the best the recognition rate.
Estimating the scene illumination chromaticity by using a neural network
TL;DR: A multilayer neural network is described that is able to recover the illumination chromaticity given only an image of the scene, which has application to machine vision problems such as object recognition and in digital photography, where uncontrolled scene illumination can create an unwanted color cast in a photograph.