Results 91 to 100 of about 3,835,189 (296)
Dynamo-Depth: Fixing Unsupervised Depth Estimation for Dynamical Scenes [PDF]
, 2023 Unsupervised monocular depth estimation techniques have demonstrated encouraging results but typically assume that the scene is static. These techniques suffer when trained on dynamical scenes, where apparent object motion can equally be explained by ...
Sun, Yihong, Hariharan, Bharath
core
RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells
FEBS Open Bio, EarlyView.RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour +2 more
wiley +1 more source
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
Depth Acquisition from Digital Images [PDF]
, 2011 Introduction: Depth acquisition from digital images captured with a conventional camera, by analysing focus/defocus cues which are related to depth via an optical model of the camera, is a popular approach to depth-mapping a 3D scene.
WILLIAMS, DAVID,NICHOLAS
core
Outdoor Monocular Depth Estimation: A Research Review
, 2022 Depth estimation is an important task, applied in various methods and applications of computer vision. While the traditional methods of estimating depth are based on depth cues and require specific equipment such as stereo cameras and configuring input ...
Vyas, Pulkit +3 more
core
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
Depth Estimation for Autonomous Robot Navigation: A Comparative Approach
Depth estimation has long been a fundamental problem both in robotics science and in computer vision. Various methods have been developed and implemented in a large number of applications.
Diamantas, Sotirios +2 more
core +1 more source
LFDA: A Framework for Light Field Depth Estimation With Depth Attention
IEEE AccessDepth estimation in light field imaging is integral for the accurate rendering of 3D scenes and a crucial task in light field applications. However, the development of a model that simultaneously achieves high accuracy and speed in light field depth ...
Hyeongsik Kim +2 more
doaj +1 more source
Aberration-Aware Depth-From-Focus
, 2023 Computer vision methods for depth estimation usually use simple camera models with idealized optics. For modern machine learning approaches, this creates an issue when attempting to train deep networks with simulated data, especially for focus-sensitive ...
Yang, Xinge +3 more
core +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