The human visual system can derive information about three-dimensional (3D) shape from the structure of light reflected by surfaces. Most research on single static images has focused on the 3D shape information contained in variations of brightness caused by interactions between the illumination and local surface orientation ("shading"). Although color can enhance the recovery of surface shading when color and brightness vary independently, there is no evidence that color alone provides any information about 3D shape. Here, we show that the wavelength-dependent reflectance of chromatic materials provides information about the 3D shape of translucent materials. We show that different wavelengths of light undergo varying degrees of subsurface light transport, which generates multiple forms of spatial structure: wavelengths that are weakly reflected generate shading-like image structure, linked to 3D surface orientation, whereas wavelengths that penetrate more deeply into the material are primarily constrained by the direction of surface curvature (convexities and concavities). Psychophysical experiments demonstrate that the enhanced perception of 3D shape in chromatic translucent surfaces arises from the shading structure generated by weakly reflected wavelengths, which, in turn, generates correlated spatial variations in saturation. These results demonstrate a new functional role for color in the perception of the 3D shape of translucent materials.
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http://dx.doi.org/10.1016/j.cub.2022.01.026 | DOI Listing |
Sensors (Basel)
December 2024
Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung University, Tainan 701, Taiwan.
Precision depth estimation plays a key role in many applications, including 3D scene reconstruction, virtual reality, autonomous driving and human-computer interaction. Through recent advancements in deep learning technologies, monocular depth estimation, with its simplicity, has surpassed the traditional stereo camera systems, bringing new possibilities in 3D sensing. In this paper, by using a single camera, we propose an end-to-end supervised monocular depth estimation autoencoder, which contains an encoder with a structure with a mixed convolution neural network and vision transformers and an effective adaptive fusion decoder to obtain high-precision depth maps.
View Article and Find Full Text PDFPolymers (Basel)
December 2024
Department of Prosthodontics, Faculty of Dentistry, University of Abant İzzet Baysal, 14030 Bolu, Turkey.
This study evaluated the color stability, surface roughness, and hardness of 3D-printed and heat-polymerized denture materials. A total of 90 samples were prepared, with equal numbers of 3D-printed and heat-polymerized disks. The initial hardness, surface roughness, and color values of the samples were measured.
View Article and Find Full Text PDFAnimals (Basel)
December 2024
Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China.
The social complexity hypothesis suggests that complex social interactions drive the evolution of sophisticated communicative signals. While the relationship between social communication and the complexity of sound and color signals has been extensively studied, the correlation between social communication and movement-based visual signal complexity remains underexplored. In this study, we selected the Asian agamid lizard, , as our model system.
View Article and Find Full Text PDFBMC Psychol
January 2025
Department of Psychology, Jing Hengyi School of Education, Hangzhou Normal University, Hangzhou, China.
Background: Intertemporal choices are the process by which people make choices about losses or gains at different points in time (near or far). To explore the relationship between font color and intertemporal choice and to examine the serial mediation of time perception and intradimensional difference comparison on the association between font color and intertemporal choice on the basis of attribute-based choice models.
Methods: We randomly assigned subjects to the intertemporal choices questionnaire in a specific font color (blue vs.
Alzheimers Res Ther
January 2025
Department of Radiology, Weill Medical College of Cornell University, New York, NY, USA, Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Background: Quantitative susceptibility mapping (QSM) can study the susceptibility values of brain tissue which allows for noninvasive examination of local brain iron levels in both normal and pathological conditions.
Purpose: Our study compares brain iron deposition in gray matter (GM) nuclei between cerebral small vessel disease (CSVD) patients and healthy controls (HCs), exploring factors that affect iron deposition and cognitive function.
Materials And Methods: A total of 321 subjects were enrolled in this study.
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