Results 101 to 110 of about 2,048,306 (347)

Biointerfacing with AgBiS2 Quantum Dots for Pseudocapacitive Photostimulation

open access: yesAdvanced Functional Materials, EarlyView.
It is demonstrated that AgBiS2 quantum dots exhibit unique photoinduced pseudocapacitive charge transfer properties, enabling efficient light‐to‐electrical energy conversion. These quantum dots facilitate enhanced light absorption and transduction when integrated with ZnO nanowires, which serve as an effective charge transport medium.
Ridvan Balamur   +8 more
wiley   +1 more source

Benchmarking Neuromorphic Vision: Lessons Learnt from Computer Vision

open access: yesFrontiers in Neuroscience, 2015
Neuromorphic Vision sensors have improved greatly since the first silicon retina was presented almost three decades ago. They have recently matured to the point where they are commercially available and can be operated by laymen.
Cheston eTan   +3 more
doaj   +1 more source

Computer Vision and Abnormal Patient Gait Assessment a Comparison of Machine Learning Models [PDF]

open access: yesarXiv, 2020
Abnormal gait, its associated falls and complications have high patient morbidity, mortality. Computer vision detects, predicts patient gait abnormalities, assesses fall risk and serves as clinical decision support tool for physicians. This paper performs a systematic review of how computer vision, machine learning models perform an abnormal patient's ...
arxiv  

Tin‐Based 2D/3D Perovskite Vertical Heterojunction for High‐Performance Synaptic Phototransistors

open access: yesAdvanced Functional Materials, EarlyView.
Phototransistors based on tin‐based 2D/3D perovskite heterostructures show an ultrahigh responsivity and detectivity at a low gate voltage across a broad wavelength region from ultraviolet to near‐infrared. The devices can replicate neuromorphic learning and remembering behaviors to light stimuli, in addition to electric depression and memory erasure ...
Hok‐Leung Loi   +10 more
wiley   +1 more source

Active AU Based Patch Weighting for Facial Expression Recognition

open access: yesSensors, 2017
Facial expression has many applications in human-computer interaction. Although feature extraction and selection have been well studied, the specificity of each expression variation is not fully explored in state-of-the-art works.
Weicheng Xie   +3 more
doaj   +1 more source

Adapting Computer Vision Algorithms for Omnidirectional Video [PDF]

open access: yesarXiv, 2019
Omnidirectional (360{\deg}) video has got quite popular because it provides a highly immersive viewing experience. For computer vision algorithms, it poses several challenges, like the special (equirectangular) projection commonly employed and the huge image size.
arxiv  

Roulette‐Inspired Physical Unclonable Functions: Stochastic yet Deterministic Multi‐Bit Patterning through the Solutal Marangoni Effect

open access: yesAdvanced Functional Materials, EarlyView.
Geometric multi‐bit patterning based on dynamic wetting and dewetting phenomena creates roulette‐like Physical Unclonable Function (PUF) labels with stochastic yet deterministic properties. This method leverages the solutal‐Marangoni effect for high randomness while achieving deterministic multinary patterns through polygonal confinement of binary ...
Yeongin Cho   +8 more
wiley   +1 more source

Underwater Multi-Vehicle Trajectory Alignment and Mapping Using Acoustic and Optical Constraints

open access: yesSensors, 2016
Multi-robot formations are an important advance in recent robotic developments, as they allow a group of robots to merge their capacities and perform surveys in a more convenient way.
Ricard Campos, Nuno Gracias, Pere Ridao
doaj   +1 more source

Real-time Tracking Based on Neuromrophic Vision [PDF]

open access: yesarXiv, 2015
Real-time tracking is an important problem in computer vision in which most methods are based on the conventional cameras. Neuromorphic vision is a concept defined by incorporating neuromorphic vision sensors such as silicon retinas in vision processing system.
arxiv  

Computer Analysis of Architecture Using Automatic Image Understanding

open access: yes, 2019
In the past few years, computer vision and pattern recognition systems have been becoming increasingly more powerful, expanding the range of automatic tasks enabled by machine vision.
Li, Yuan, Shamir, Lior, Wei, Fan
core   +1 more source

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