Takuma Morimoto

The paper shows that human observers can improve color discrimination by tilting surfaces to sample directional lighting, rather than relying on uniform illumination.

The paper investigates human color constancy in complex lighting environments, finding it remains robust despite misleading global color cues.

The paper shows observers use highlight geometry, not just brightness, to estimate illuminant color from specular highlights in rendered scenes.

The paper shows human color discrimination asymmetry arises from ecological color statistics, supported by psychophysics, MEG, and deep neural networks.

This paper shows that tiny neural networks can accurately replicate human gloss perception judgments better than larger networks estimating physical reflectance.

The paper shows that humans use context-dependent active sensing strategies, like head and hand movements, to better discriminate visually ambiguous materials in virtual reality.

The paper investigates human color constancy in cast shadows, finding that color perception remains stable despite changes in lighting conditions and shadow recognition.

The paper investigates how single cone photoreceptors adapt to changes in scene illumination by analyzing their spectral responses during gaze shifts.

The paper shows that directional variability in real-world lighting can resolve most cases of illuminant metamerism, benefiting color-deficient observers more than trichromats.

This study measures how well participants can judge color and gloss of objects under different lighting conditions, finding high accuracy in hue but poor performance in chroma, lightness, and gloss.

The paper investigates color categories' invariance across illuminant changes and finds that focal colors are more stable than non-focal colors.

The paper models color discrimination thresholds under different lighting conditions using chromatic statistics and CNNs, finding that human-response-trained CNNs outperform chromatic statistics models.

This study investigates how the visual system determines luminosity thresholds by comparing empirical data with theoretical upper-limit luminances under different illuminants.

The paper introduces a portable hyperspectral imaging system to capture spectrally and spatially resolved light environments in woodland areas, demonstrating its application in Wytham Woods.

The paper tests a model for color constancy using psychophysical experiments and finds it outperforms conventional models in estimating illuminant chromaticity.

This paper introduces two physiologically relevant metrics to evaluate how well visual displays reproduce photoreceptor signals, using real-world spectra and various illuminants.

The paper investigates the #theShoe color perception ambiguity using the optimal color hypothesis, showing that illuminant intensity assumptions affect color appearance and support the hypothesis.

The paper captures hyperspectral environmental illumination maps with 33 spectral channels, revealing directional spectral variation in natural environments.