Results 151 to 160 of about 14,435,990 (306)

Method for RGB-D image segmentation

open access: yes, 2022
The invention discloses a method for RGB-D image segmentation, which is based on the fact that the method carries out semantic level segmentation on an RGB-D color depth image, extracts foreground pixel information in the depth image and takes a weight ...
Xu, Zhijie   +5 more
core   +1 more source

Real‐Time Ferroelectric Domain Wall Dynamics During Electric Poling and Depoling

open access: yesAdvanced Science, EarlyView.
Real‐time visualization of domain wall dynamics during alternating‐current poling, direct‐current poling, and electrical depoling in relaxor‐PT ferroelectric single crystals reveals distinct field‐dependent pathways and strong path dependence. Instant polarized light microscopy uncovers reversible domain wall nucleation, motion, and reconfiguration ...
Ziqi Wang   +12 more
wiley   +1 more source

A survey of RGB-D-based semantic segmentation

open access: yes
This chapter focuses on semantic segmentation of RGB-D images. RGB-D-based semantic segmentation is a research area that has gained significant attention in the computer vision community.
Lai, Yukun   +4 more
core   +1 more source

Bioinspired Ionochromic Neuromorphic Transistors for Robotic Intelligent Perception

open access: yesAdvanced Science, EarlyView.
A bioinspired ionochromic neuromorphic transistor couples synaptic conductance modulation with reversible color change through voltage‐controlled ion doping in P3HT/ion gel, mimicking biological synaptic plasticity, and chameleon‐like color regulation.
Quanxing Yao   +10 more
wiley   +1 more source

EndoTac: An Endoscopic Camera‐Based Tactile Sensor with High Sensitivity for Minimally Invasive Surgery

open access: yesAdvanced Science, EarlyView.
EndoTac presents a trocar‐compatible endoscopic vision‐based tactile sensor that uses a convex mirror to enlarge side‐facing tactile coverage during minimally invasive vessel palpation. Distorted tactile images are unwarped and processed by a learning model to estimate vascular deformation, enabling sensitive, spatially distributed tactile perception ...
Yupeng Wang   +5 more
wiley   +1 more source

Object Recognition and Semantic Scene Labeling for RGB-D Data [PDF]

open access: yes, 2013
Thesis (Ph.D.)--University of Washington, 2013The availability of RGB-D (Kinect-like) cameras has led to an explosive growth of research on robot perception.
Lai, Kevin Kar Wai, Kevin Kar Wai Lai
core  

Gestational Hypoxia Disrupts Medial Ganglionic Eminence Progenitor Dynamics and Interneuron Development in Schizophrenia

open access: yesAdvanced Science, EarlyView.
FES‐derived MGE spheroids exhibit progenitor‐stage alterations in developmental trajectory and hypoxia‐responsive transcriptional programs, followed by functional disruption. Gestational hypoxia recapitulates impaired progenitor proliferation, shortened cell‐cycle progression, interneuron developmental abnormalities, and schizophrenia‐like behaviors in
Peiyan Ni   +17 more
wiley   +1 more source

Hand gesture recognition using RGB-D cues

open access: yes, 2012
In this paper, we propose a hand gesture recognition method in the clutter background by fusing the RGB-D cues. Since the hand localization is the key issue, we propose a coarse-to-fine procedure to detect hand accurately, which combines the statistic ...
Lin L(蔺蘭)   +2 more
core   +1 more source

Estimasi Pose 6d Menggunakan Kamera RGB-D-NIR

open access: yes, 2022
Pose Estimation adalah suatu metode penginderaan visual yang berfungsi untuk memprediksi pose atau position and oritentation. Pose Estimation merupakan suatu teknik yang akan sangat berguna dalam banyak bidang, khususnya pada bidang Augmented Reality ...
Senjaya, Delonix
core  

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

open access: yesAdvanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi   +7 more
wiley   +1 more source

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