Results 171 to 180 of about 16,759,811 (301)

Pose-Invariant Face Recognition via RGB-D Images. [PDF]

Comput Intell Neurosci, 2016
Sang G, Li J, Zhao Q.
europepmc   +1 more source

An Integrated Framework Coupling Hierarchical Hyperspectral i‐trait Screening, Gene Identification, and Functional Validation for Genetic Dissection of Salt Tolerance in Cotton

Advanced Science, EarlyView.
An integrated phenomics–genomics framework captures dynamic salt‐stress responses in laboratory‐grown cotton seedlings through time‐series hyperspectral imaging and non‐destructive i‐trait extraction. Hierarchical screening identifies biologically relevant, heritable, and non‐redundant traits for high‐resolution GWAS, identifying GhST7.
Bowei Xu, Le Liu, Mengli Yu, Yuling Guo, Junli Ye, Jun Zhang, Rumeng Zhao, Jiajie Yang, Wanneng Yang, Yameng Xu, Liqiang Fan, Zuoren Yang   +11 more
wiley   +1 more source

Towards Autonomous Retinal Microsurgery Using RGB-D Images. [PDF]

IEEE Robot Autom Lett
Kim JW, Wei S, Zhang P, Gehlbach P, Kang JU, Iordachita I, Kobilarov M.   +6 more
europepmc   +1 more source

RGB-D-based action recognition datasets: a survey

, 2016
Human action recognition from RGB-D (Red, Green, Blue and Depth) data has attracted increasing attention since the first work reported in 2010. Over this period, many benchmark datasets have been created to facilitate the development and evaluation of ...
Chang Tang (2862872), Philip Ogunbona (19582399), Jing Zhang (20116782), Wanqing Li (19585063), Pichao Wang (20118963)   +4 more
core  

People Counting and Positioning Using Low‐Resolution Infrared Images for FeFET‐Based In‐Memory Computing

Advanced Electronic Materials, EarlyView.
In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar, Li Zhang, Alexander Rehmer, Marc Lupp, Subhashree Baskaran, Osama Abdelaal, Franz Müller, Nandakishor Yadav, Bing Li, Thomas Kämpfe   +9 more
wiley   +1 more source

AmodalAppleSize_RGB-D dataset: RGB-D images of apple trees annotated with modal and amodal segmentation masks for fruit detection, visibility and size estimation. [PDF]

Data Brief
Gené-Mola J, Ferrer-Ferrer M, Hemming J, van Dalfsen P, de Hoog D, Sanz-Cortiella R, Rosell-Polo JR, Morros JR, Vilaplana V, Ruiz-Hidalgo J, Gregorio E.   +10 more
europepmc   +1 more source

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin, Jackson K. Flowers, Tobias H. Piotrowiak, Frederic Felsen, Leon Merker, Alfred Ludwig, Dominic Bresser, Helge Sören Stein   +7 more
wiley   +1 more source

Grading Fruits and Vegetables Using RGB-D Images and Convolutional Neural Network

This paper presents a method for grading fruits and vegetables by means of using RGB-D (RGB and depth) images and convolutional neural network (CNN). Here, we focus on grading according to the size of objects.
Nishi, Toshiki, マツオ, カズヤ, Matsuo, Kazuya, 松尾, 一矢, クロギ, シュウイチ, 黒木, 秀一, Kurogi, Shuichi   +6 more
core  

Decoupling Thermodynamic and Kinetic Moisture Instability Reveals a Critical Humidity Threshold for Sodium Thiophosphate Solid Electrolyte

Advanced Energy Materials, EarlyView.
A quantitative exposure‐heat treatment framework identifies a critical humidity threshold (15%RH) and heat treatment temperature (80°C) that governs the recoverability of air‐exposed Na3PS4, revealing the decoupled thermodynamic and kinetic contributions to its moisture stability.
Boling Liu, Jingjing Liu, Ahmad Mandouh, Brenna Richardson, Cheng Xu, Soo Yeon Lim, Wenhui Zhu, Md. Monir Hossain, Ruigang Wang, Wei Lai, Chengcheng Fang   +10 more
wiley   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source