Results 51 to 60 of about 326,274 (317)
Collision Detection and Avoidance for Underwater Vehicles Using Omnidirectional Vision
Sensors, 2022 Exploration of marine habitats is one of the key pillars of underwater science, which often involves collecting images at close range. As acquiring imagery close to the seabed involves multiple hazards, the safety of underwater vehicles, such as remotely
Eduardo Ochoa +5 more
doaj +1 more source
FEBS Open Bio, EarlyView.Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley +1 more source
Simulation of Crowd Problems for Computer Vision [PDF]
, 2005 This work presents an approach for generating video evidence of dangerous situations in crowded scenes. The scenarios of interest are those with high safety risk such as blocked exit, collapse of a person in the crowd, and escape panic.
Fisher, Bob, Andrade, Ernesto
core
Low-Light Image and Video Enhancement for More Robust Computer Vision Tasks: A Review [PDF]
Computer vision aims to enable machines to understand the visual world. Computer vision encompasses numerous tasks, namely action recognition, object detection and image classification.
Mpilo M. Tatana +2 more
core +1 more source
Living-with-machines/introduction-to-computer-vision-workshop: [PDF]
, 2021 Computer Vision for the Humanities ...
Daniel van Strien
core +1 more source
Diabetic retinopathy screening using machine learning: a systematic review
BMC Biomedical EngineeringDiabetic retinopathy (DR) stands as a leading cause of global blindness. Early identification and prompt treatment are crucial in preventing vision impairment caused by diabetic retinopathy (DR).
Fitsum Mesfin Dejene +4 more
doaj +1 more source
An active reconstruction algorithm based on partial prior information
International Journal of Advanced Robotic Systems, 2020 Active reconstruction is an intelligent perception method that achieves object modeling with few views and short motion paths by systematically adjusting the parameters of the camera while ensuring model integrity.
Yanzi Kong +5 more
doaj +1 more source
Derivation and characterization of retinal pigment epithelium from urine‐derived iPSCs
FEBS Open Bio, EarlyView.Age‐related macular degeneration causes vision loss via RPE dysfunction and loss. Traditional iPSC therapies rely on invasive biopsies, limiting scalability. Here, we utilize urine‐derived stem cells as an accessible source to generate u‐iPSCs, successfully differentiated into pigmented RPE. This “Urine‐to‐Retina” platform provides a promising path for
Daniella Beiner +7 more
wiley +1 more source
Re-GAN : data-efficient GANs training via architectural reconfiguration [PDF]
, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023, 18-22 June 2023, Vancouver Convention Center, Vancouver, Canada.202307 bckwAccepted ManuscriptRGCOthersPolyU Internal Start-up Fund; Research Impact FundPublishedGreen ...
Saxena, D, Xu, J, Kulshrestha, T, Cao, J
core
Deep learning approach to fractal surfaces: application to satellite images of urban areas
EPJ Data ScienceA Convolutional Neural Network (CNN) approach is proposed to quantify the Hurst exponent H of two-dimensional correlated random matrices. The approach (shortly referred to as RegFractNet) has been tested on deterministic and stochastic fractals and ...
Armando Delgadillo-Jimenez +5 more
doaj +1 more source