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   Articles with "depth images" as a keyword



A fractional integral method inverse distance weight-based for denoising depth images

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recommendations! Published in 2024 at "AIP Advances"

DOI: 10.1063/5.0185438

Abstract: Denoising algorithms for obtaining the effective data of depth images affected by random noise mainly focus on the processing of gray images. These algorithms are not distinct from traditional image-processing methods, and there is no… read more here.

Keywords: inverse distance; depth images; order integral; fractional order ... See more keywords

328 Late-Breaking: Transfer learning for improving dairy cattle body weight prediction in small farms using depth images and point cloud data.

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recommendations! Published in 2025 at "Journal of Animal Science"

DOI: 10.1093/jas/skaf300.047

Abstract: Accurate body weight (BW) prediction is essential for dairy cattle health monitoring and feed management. Traditional approaches are not practical for routine use on farms as they typically require intensive labor. New technologies, such as… read more here.

Keywords: farm; depth images; cloud data; point cloud ... See more keywords

Feature Calibrating and Fusing Network for RGB-D Salient Object Detection

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recommendations! Published in 2024 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2023.3296581

Abstract: Due to their imaging mechanisms and techniques, some depth images inevitably have low visual qualities or have some inconsistent foregrounds with their corresponding RGB images. Directly using such depth images will deteriorate the performance of… read more here.

Keywords: depth images; saliency; rgb; network ... See more keywords

Self-Supervised Learning for RGB-Guided Depth Enhancement by Exploiting the Dependency Between RGB and Depth

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recommendations! Published in 2022 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2022.3226419

Abstract: Due to the imaging mechanism of time-of-flight (ToF) sensors, the captured depth images usually suffer from severe noise and degradation. Though many RGB-guided methods have been proposed for depth image enhancement in the past few… read more here.

Keywords: depth; rgb; rgb guided; dependency rgb ... See more keywords