Leandro A. F. Fernandes

Prof. Leandro A. F. Fernandes

Fluminense Federal University, Niterói, Rio de Janeiro, Brazil
orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2008 in Pattern Recognition
Verified
Journal Article
Closed access
Leandro A. F. FernandesLeandro A. F. Fernandes
Leandro A. F. Fernandes
MOManuel M. Oliveira
Manuel M. Oliveira

23 October 2009 in IEEE Transactions on Visualization and Computer Graphics
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Journal Article
Open access
GMGustavo M. Machado
Gustavo M. Machado
MOManuel M. Oliveira
Manuel M. Oliveira
Leandro A. F. FernandesLeandro A. F. Fernandes
Leandro A. F. Fernandes
Color vision deficiency (CVD) affects approximately 200 million people worldwide, compromising the ability of these individuals to effectively perform color and visualization-related tasks. This has a significant impact on their private and professional lives. We present a physiologically-based model for simulating color vision. Our model is based on the stage theory of human color vision and is derived from data reported in electrophysiological studies. It is the first model to consistently handle normal color vision, anomalous trichromacy, and dichromacy in a unified way. We have validated the proposed model through an experimental evaluation involving groups of color vision deficient individuals and normal color vision ones. Our model can provide insights and feedback on how to improve visualization experiences for individuals with CVD. It also provides a framework for testing hypotheses about some aspects of the retinal photoreceptors in color vision deficient individuals.

24 February 2021 in Artificial Intelligence Review
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Journal Article
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JPJulliano Trindade Pintas
Julliano Trindade Pintas
Leandro A. F. FernandesLeandro A. F. Fernandes
Leandro A. F. Fernandes
AGAna Cristina Garcia
Ana Cristina Garcia

24 October 2008 in IEEE Transactions on Visualization and Computer Graphics
Verified
Journal Article
Open access
GKGiovane R. Kuhn
Giovane R. Kuhn
MOManuel M. Oliveira
Manuel M. Oliveira
Leandro A. F. FernandesLeandro A. F. Fernandes
Leandro A. F. Fernandes
We present an efficient and automatic image-recoloring technique for dichromats that highlights important visual details that would otherwise be unnoticed by these individuals. While previous techniques approach this problem by potentially changing all colors of the original image, causing their results to look unnatural to color vision deficients, our approach preserves, as much as possible, the image's original colors. Our approach is about three orders of magnitude faster than previous ones. The results of a paired-comparison evaluation carried out with fourteen color-vision deficients (CVDs) indicated the preference of our technique over the state-of-the-art automatic recoloring technique for dichromats. When considering information visualization examples, the subjects tend to prefer our results over the original images. An extension of our technique that exaggerates color contrast tends to be preferred when CVDs compared pairs of scientific visualization images. These results provide valuable information for guiding the design of visualizations for color-vision deficients.

29 May 2008 in The Visual Computer
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Journal Article
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GKGiovane R. Kuhn
Giovane R. Kuhn
MOManuel M. Oliveira
Manuel M. Oliveira
Leandro A. F. FernandesLeandro A. F. Fernandes
Leandro A. F. Fernandes

1 February 2018 in Pattern Recognition Letters
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Journal Article
Closed access
EVEduardo Vera
Eduardo Vera
DLDjalma Lucio
Djalma Lucio
Leandro A. F. FernandesLeandro A. F. Fernandes
Leandro A. F. Fernandes
LVLuiz Velho
Luiz Velho