Results 111 to 120 of about 6,005,844 (276)

EventEgoHands++: Event-Based Egocentric 3D Hand Mesh Reconstruction With Real Dataset

IEEE Access
3D hand mesh reconstruction is a challenging yet essential task for downstream applications, including human-robot interaction and AR/VR. Although conventional cameras (, RGB or depth cameras) have been widely adopted for this task, methods that rely on ...
Ryosei Hara, Wataru Ikeda, Masashi Hatano, Mariko Isogawa   +3 more
doaj   +1 more source

Large‐Scale Determination of Frontier Orbital Energies of Disordered Small‐Molecule Organic Semiconductors Using Exciplex Emission Spectra

Advanced Materials, EarlyView.
ABSTRACT Accurately knowing the frontier orbital energies of the structurally disordered small‐molecule organic semiconductors that are used in optoelectronic devices such as organic light‐emitting diodes is required to rationally improve their performance. Here, we show that these energies can be deduced with a large accuracy from the peak energies of
Christian B. McDonald, Hiroki Tomita, Giacomo Cotelli, Louka L. Brüll, Nanno G. de Rooij, Lucas R.L. Norg, Milo Clément, Reinder Coehoorn   +7 more
wiley   +1 more source

Generalized Feedback Loop for Joint Hand-Object Pose Estimation

, 2019
International audienceWe propose an approach to estimating the 3D pose of a hand, possibly handling an object, given a depth image. We show that we can correct the mistakes made by a Convolutional Neural Network trained to predict an estimate of the 3D ...
Wohlhart, Paul, Lepetit, Vincent, Oberweger, Markus   +2 more
core   +1 more source

Pose Tracking and Object Reconstruction Based on Occlusion Relationships in Complex Environments

Applied Sciences
For the reconstruction of objects during hand–object interactions, accurate pose estimation is indispensable. By improving the precision of pose estimation, the accuracy of the 3D reconstruction results can be enhanced. Recently, pose tracking techniques
Xi Zhao, Yuekun Zhang, Yaqing Zhou
doaj   +1 more source

Microgels Enable iPSCs to Assemble, Expand, and Differentiate Into Organoids—From Sizable to High‐Throughput

Advanced Materials, EarlyView.
A chemically defined PEG‐based microgel platform enables scalable, reproducible production of three‐dimensional microgel‐iPSC constructs in multiple sizes. The system is compatible with high‐throughput automation and supports human iPSC expansion and differentiation within a single construct, including directed differentiation into cardiac organoids ...
Laura Klasen, Matthias Mork, Ramin Nasehi, Vasudha Turuvekere Krishnamurthy, Kira Zeevaert, Aaron Babendreyer, Jacopo Di Russo, Wolfgang Wagner, Laura De Laporte   +8 more
wiley   +1 more source

Hand–Object Pose Estimation Based on Anchor Regression from a Single Egocentric Depth Image

Sensors
To precisely understand the interaction behaviors of humans, a computer vision system needs to accurately acquire the poses of the hand and its manipulated object. Vision-based hand–object pose estimation has become an important research topic.
Jingang Lin, Dongnian Li, Chengjun Chen, Zhengxu Zhao   +3 more
doaj   +1 more source

Helicity‐Defined Analog Conductance States in Chiral Perovskite Synapses

Advanced Materials, EarlyView.
Chiral perovskite synapses convert the handedness of circularly polarized light into persistent analog memory during electrical programming. An optimized n = 3 structure combines strong helicity selectivity with low read noise, enabling 72 distinct conductance levels.
Min Jong Lee, Hyoungwook Cho, Sang Heon Lee, Ohhyun Kwon, Minil Kang, Dong Gyu Lee, Seongwon Lee, Tae Kyung Lee, Gyeong Min Lee, Minseong Um, Sung Su Yoon, Gayoung Ham, Hyojung Cha, Hyungju Ahn, SungWoo Nam, Hyung‐Min Lee, Jae Won Shim   +16 more
wiley   +1 more source

Enhanced hand part classification from a single depth image using random decision forests

IET Computer Vision, 2016
Hand pose recognition has received increasing attention in an area of human–computer interaction. With the recent spread of many low‐cost three‐dimensional (3D) cameras, research into understanding more natural gestures has increased.
Myoung‐Kyu Sohn, Sang‐Heon Lee, Hyunduk Kim, Hyeyoung Park   +3 more
doaj   +1 more source

Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health

Advanced Materials, EarlyView.
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim, Seungwon Yoo, Tae Woog Kang, Yunuo Huang, Woon‐Hong Yeo   +4 more
wiley   +1 more source

ShapeGraFormer: GraFormer-Based Network for Hand-Object Reconstruction From a Single Depth Map

IEEE Access
3D reconstruction of hand-object manipulations is important for emulating human actions. Most methods dealing with challenging object manipulation scenarios focus on hands reconstruction in isolation, ignoring physical and kinematic constraints due to ...
Ahmed Tawfik Aboukhadra, Jameel Malik, Nadia Robertini, Ahmed Elhayek, Didier Stricker   +4 more
doaj   +1 more source