Results 141 to 150 of about 57,062 (333)

Adaptive Sampling for BRDF Acquisition

open access: yesComputer Graphics Forum, EarlyView.
We propose a data‐driven adaptive sampling strategy that predicts the optimal sampling pattern and count for BRDF acquisition from a single image, reducing capture time while preserving quality. Abstract The bidirectional reflectance distribution function (BRDF) describes the ratio of incoming radiance to outgoing radiance for all possible pairs of ...
Behnaz Kavoosighafi   +3 more
wiley   +1 more source

Differentiating solar lentigines from post‐inflammatory hyperpigmentation with hyperspectral imaging: A pilot study

open access: yesInternational Journal of Cosmetic Science, EarlyView.
This preliminary study attempted to characterize solar lentigines and post‐inflammatory hyperpigmentation (PIH) observed on Japanese women. Colorimetric features and chromophore concentrations were measured using hyperspectral imaging for each hyperpigmentation type.
Victor Egana   +4 more
wiley   +1 more source

Breeding 5.0: Artificial intelligence (AI)‐decoded germplasm for accelerated crop innovation

open access: yesJournal of Integrative Plant Biology, EarlyView.
ABSTRACT Crop breeding technologies are vital for global food security. While traditional methods have improved yield, stress tolerance, and nutrition, rising challenges such as climate instability, land loss, and pest pressure now demand new solutions.
Jiayi Fu   +4 more
wiley   +1 more source

Hyperspectral Image Classification Based on Dense Pyramidal Convolution and Multi-Feature Fusion [PDF]

open access: gold, 2023
Junsan Zhang   +7 more
openalex   +1 more source

Hyperspectral Image Classification

open access: yes, 2020
Rajesh, Gogineni,, Ashvini, Chaturvedi,
openaire   +3 more sources

Brain tissue classification in hyperspectral images using multistage diffusion features and transformer

open access: yesJournal of Microscopy, EarlyView.
Abstract Brain surgery is a widely practised and effective treatment for brain tumours, but accurately identifying and classifying tumour boundaries is crucial to maximise resection and avoid neurological complications. This precision in classification is essential for guiding surgical decisions and subsequent treatment planning.
Neetu Sigger   +2 more
wiley   +1 more source

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