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Published in 2021 at "Analytica chimica acta"
DOI: 10.1016/j.aca.2021.338671
Abstract: Analytical techniques capable of determining the spatial distribution and quantity (mass and/or particle number) of engineered nanomaterials in organisms are essential for characterizing nano-bio interactions and for nanomaterial risk assessments. Here, we combine the use…
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Keywords:
image depth;
caenorhabditis elegans;
mass spectrometry;
mass ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2951035
Abstract: In order to improve the predication accuracy with low execution time in the process of image depth map generation, we mainly investigate the unsupervised monocular image depth prediction. In this paper, an unsupervised monocular image…
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Keywords:
monocular image;
loss;
prediction;
image ... See more keywords
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Published in 2020 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2019.2936024
Abstract: In this paper, we address the problem of monocular depth estimation when only a limited number of training image-depth pairs are available. To achieve a high regression accuracy, the state-of-the-art estimation methods rely on CNNs…
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Keywords:
depth;
semi supervised;
estimation;
monocular depth ... See more keywords
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Published in 2024 at "Computer Optics"
DOI: 10.18287/2412-6179-co-1334
Abstract: The article presents a method for reconstructing and animating a digital model of a human head from a single RGBD image, a color RGB image with depth information. An approach is proposed for optimizing the…
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Keywords:
depth information;
image;
image depth;
model ... See more keywords