Results 81 to 90 of about 3,676,418 (303)
Survey on Monocular Metric Depth Estimation
ComputersMonocular metric depth estimation (MMDE) aims to generate depth maps with an absolute metric scale from a single RGB image, which enables accurate spatial understanding, 3D reconstruction, and autonomous navigation.
Jiuling Zhang, Yurong Wu, Huilong Jiang
doaj +1 more source
MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis
FEBS Open Bio, EarlyView.MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss +7 more
wiley +1 more source
Endoscopic Depth Estimation Based on Deep Learning: A Survey
Endoscopic depth estimation is a critical technology for improving the safety and precision of minimally invasive surgery. It has attracted considerable attention from researchers in medical imaging, computer vision, and robotics. Over the past decade, a
Niu, Ke +7 more
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Optimizing photoexcitation conditions for time‐resolved X‐ray solution scattering experiments
FEBS Open Bio, EarlyView.Time‐resolved X‐ray solution scattering (TR‐XSS) is a powerful technique to visualize how proteins change their structure in real time after light activation. Selecting the right laser photoexcitation conditions—fluence, excitation geometry, and sample refresh rate—is critical to maximize the experimental signal while avoiding unwanted side effects ...
Matteo Levantino
wiley +1 more source
REAL TIME EMBBEDED RGB-D SLAM USING CNNS FOR DEPTH ESTIMATION AND FEATURE EXTRACTION [PDF]
, 2023 "A robust and efficient Simultaneous Localization and Mapping (SLAM) system is essential for intelligent mobile robots to work in unknown environments.
Marcos Renato Rocha Hernández
core
Depth From Focus via Test-Time Optimization of Monocular Depth Estimation Models
IEEE AccessDepth from focus (DFF) estimates scene depth by analyzing images captured at different focus distances. Recent deep learning–based DFF methods can predict depth at a metric scale; however, their accuracy is often limited by the relatively small ...
Jun Kohashiguchi +4 more
doaj +1 more source
FEBS Open Bio, EarlyView.Biophysical characterisation shows that NanX, a membrane transport protein from the major facilitator superfamily (MFS), forms both monomers and dimers after purification. AlphaFold modelling and substrate docking provide information on residues likely involved in substrate recognition for NanX and another MFS member, NanT.
Michael C. Newton‐Vesty +13 more
wiley +1 more source
Complexity, Depth Ecology and Climate Change
, 2019 Discussions with Depth Psychologists in the Age of the Anthropocene: This book contains dynamic perspectives on global challenges such as ecological destruction, climate issues, failed leadership, and limiting beliefs, while turning to imagination ...
Marshall, J, Bright, B
core
Depth mapping of integral images through viewpoint image extraction with a hybrid disparity analysis algorithm [PDF]
, 2008 Integral imaging is a technique capable of displaying 3–D images with continuous parallax in full natural color. It is one of the most promising methods for producing smooth 3–D images.
McCormick, M, Kung, SY, Wu, C, Aggoun, A
core +1 more source
FEBS Open Bio, EarlyView.Research is strongest when conducted alongside patients, not just about them. Patient research organizations help integrate patient perspectives into research priorities, study design, and scientific meetings, leading to meaningful patient outcomes and development of relevant therapies.
Jenica H. Kakadia +9 more
wiley +1 more source