Results 71 to 80 of about 19,312 (309)

Targeting Supramolecular Active Complexes of Nav1.7/Nav1.8 to Relieve Chronic Neuropathic Pain

open access: yesAdvanced Science, EarlyView.
In mice and patients with severe chronic neuropathic pain (NP), Nav1.7, Nav1.8, TrkB, and five cytoskeletal proteins form supramolecular active complexes (SMACs) with polygonal lattice structures as noxious signal amplifiers in dorsal root ganglion (DRG) neurons.
Liting Sun   +27 more
wiley   +1 more source

Research on wave measurement and simulation experiments of binocular stereo vision based on intelligent feature matching

open access: yesFrontiers in Marine Science
Waves are crucial in ocean observation and research. Stereo vision-based wave measurement, offering non-contact, low-cost, and intelligent processing, is an emerging method. However, improving accuracy remains a challenge due to wave complexity.
Junjie Wu   +30 more
doaj   +1 more source

MSCS: MeshStereo with Cross‐Scale Cost Filtering for fast stereo matching

open access: yesIET Computer Vision, 2018
MeshStereo (MS) and cross‐scale cost filtering (CSCF) are two most recently celebrated models for stereo matching. On one hand, MS model enlightens for fast solving the dense stereo correspondence problem according to a region‐based opinion. On the other
Peng Yao   +3 more
doaj   +1 more source

Semantic Edge Based Disparity Estimation Using Adaptive Dynamic Programming for Binocular Sensors

open access: yesSensors, 2018
Disparity calculation is crucial for binocular sensor ranging. The disparity estimation based on edges is an important branch in the research of sparse stereo matching and plays an important role in visual navigation.
Dongchen Zhu   +5 more
doaj   +1 more source

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

open access: yesAdvanced Science, EarlyView.
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu   +5 more
wiley   +1 more source

An Efficient Dense Stereo Matching Method for Planetary Rover

open access: yesIEEE Access, 2019
Stereo matching is one of the most important and challenging subjects in the field of planetary rover with a stereo vision system. The generated disparity map can make rover to avoid the obstacle and explore the planetary surface automatically.
Haichao Li, Liang Chen, Feng Li
doaj   +1 more source

The stereo matching algorithm based on an improved adaptive support window

open access: yesIET Image Processing, 2022
In binocular stereo matching, there has been a problem of low matching accuracy and noise immunity in discontinuous regions and weak‐textured regions. This paper proposes a stereo matching algorithm based on an improved adaptive support window.
Jiyang Qi, Liang Liu
doaj   +1 more source

Temporal Interference Stimulation Enhances Neural Regeneration

open access: yesAdvanced Science, EarlyView.
Temporal interference (TI) stimulation is proposed as a non‐invasive approach to enhance neural regeneration in the deep brain. Theta‐band TI modulation selectively promotes neural progenitor cell differentiation in vitro and augments hippocampal neurogenesis in amouse model of Alzheimer's disease‐like amyloidosis.
Sofia Peressotti   +15 more
wiley   +1 more source

Stereo Imaging Using Hardwired Self-Organizing Object Segmentation

open access: yesSensors, 2020
Stereo vision utilizes two cameras to acquire two respective images, and then determines the depth map by calculating the disparity between two images.
Ching-Han Chen   +3 more
doaj   +1 more source

Specialised global methods for binocular and trinocular stereo matching [PDF]

open access: yes, 2017
The problem of estimating depth from two or more images is a fundamental problem in computer vision, which is commonly referred as to stereo matching.
Horna Carranza, Luis Alberto
core  

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