The luminance and color of surfaces in natural scenes are relatively independent under certain linear transformations, with the luminance of a surface providing little information about the color of that surface, and vice versa. However, differences in luminance between two locations in a natural scene remain strongly associated with differences in color. We used the statistics of the spatiochromatic structure of natural scenes as the priors for a Bayesian model that decides whether or not two points within an image fall on the same surface. This model provides a biologically plausible algorithm for surface segmentation that models observer segmentations well.
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http://dx.doi.org/10.1364/josaa.20.001283 | DOI Listing |
Soc Stud Sci
January 2025
Amity Institute of Social Sciences, Amity University, Noida, Uttar Pradesh, India.
The size of India's food deficit became a pressing question for the Indian state in the early years of independence. As different organizations, government bodies, and individuals debated over the ways, means, and expertise needed to tide over the food crisis, policymakers realized that the primary requirement was to have a numerical understanding of the problem. Data became crucial to accurately assess production trends and compare them with requirements.
View Article and Find Full Text PDFAsia Pac J Oncol Nurs
December 2024
College of Nursing, Michigan State University, East Lansing, MI, USA.
Objective: Family caregivers (FCGs) of cancer patients who are in hospice experience psychological challenges and poor quality of life (QOL) as a consequence of caregiving demands and anticipatory loss. Supportive interventions are needed. Exposure to nature offers a source of relaxation; however, FCGs are often homebound and have limited opportunities for respite.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
Department of Mathematics, Western University, London, ON N6A 3K7, Canada.
J Neurosci
January 2025
School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing 100871, People's Republic of China
Natural scenes are filled with groups of similar items. Humans employ ensemble coding to extract the summary statistical information of the environment, thereby enhancing the efficiency of information processing, something particularly useful when observing natural scenes. However, the neural mechanisms underlying the representation of ensemble information in the brain remain elusive.
View Article and Find Full Text PDFAdv Sci (Weinh)
December 2024
Department of Information Communication, Army Academy of Armored Forces, Beijing, 100072, China.
Generating computer-generated holograms (CGHs) for 3D scenes by learning-based methods can reconstruct arbitrary 3D scenes with higher quality and faster speed. However, the homogenization and difficulty of obtaining 3D high-resolution datasets seriously limit the generalization ability of the model. A novel approach is proposed to train 3D encoding models based on convolutional neural networks (CNNs) using 2D image datasets.
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