Interreflections

Langer, Michael

doi:10.1007/978-3-030-03243-2_524-1

Cited by 1 publication

(1 citation statement)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One could test this by creating abstract scenes and similarly manipulating reflectances under each illuminant. But results from Gilchrist and Ramachandran (1992 ; see also Ruppertsberg & Bloj, 2007 ; Langer, 1999) suggest at least that color constancy would not be entirely eliminated. They asked, “Is a red room under white light discriminable from a white room under red light?” and found that observers could distinguish the rooms due to the interreflections in the shadows.…”

Section: Discussionmentioning

confidence: 96%

Color constancy mechanisms in virtual reality environments

Gil Rodríguez,

Hedjar,

Toscani

et al. 2024

Journal of Vision

View full text Add to dashboard Cite

Prior research has demonstrated high levels of color constancy in real-world scenarios featuring single light sources, extensive fields of view, and prolonged adaptation periods. However, exploring the specific cues humans rely on becomes challenging, if not unfeasible, with actual objects and lighting conditions. To circumvent these obstacles, we employed virtual reality technology to craft immersive, realistic settings that can be manipulated in real time. We designed forest and office scenes illuminated by five colors. Participants selected a test object most resembling a previously shown achromatic reference. To study color constancy mechanisms, we modified scenes to neutralize three contributors: local surround (placing a uniform-colored leaf under test objects), maximum flux (keeping the brightest object constant), and spatial mean (maintaining a neutral average light reflectance), employing two methods for the latter: changing object reflectances or introducing new elements. We found that color constancy was high in conditions with all cues present, aligning with past research. However, removing individual cues led to varied impacts on constancy. Local surrounds significantly reduced performance, especially under green illumination, showing strong interaction between greenish light and rose-colored contexts. In contrast, the maximum flux mechanism barely affected performance, challenging assumptions used in white balancing algorithms. The spatial mean experiment showed disparate effects: Adding objects slightly impacted performance, while changing reflectances nearly eliminated constancy, suggesting human color constancy relies more on scene interpretation than pixel-based calculations.

show abstract

Section: Discussionmentioning

confidence: 96%