Results 61 to 70 of about 557,712 (297)

Imaging Simulation Method for Novel Rotating Synthetic Aperture System Based on Conditional Convolutional Neural Network

open access: yesRemote Sensing, 2023
The novel rotating synthetic aperture (RSA) is a new optical imaging system that uses the method of rotating the rectangular primary mirror for dynamic imaging.
Yu Sun   +5 more
doaj   +1 more source

Simultaneous Stereo Video Deblurring and Scene Flow Estimation

open access: yes, 2017
Videos for outdoor scene often show unpleasant blur effects due to the large relative motion between the camera and the dynamic objects and large depth variations. Existing works typically focus monocular video deblurring.
Dai, Yuchao   +3 more
core   +1 more source

A Proof‐of‐Concept Assessment of a Novel Wearable Eyelid Muscle Device: A Pre‐Clinical Animal Cadaver Study for Eyelid Closure Restoration

open access: yesAdvanced Robotics Research, EarlyView.
This article introduces a soft wearable eyelid sling device incorporating a hydraulic soft artificial muscle (SAM) for achieving complete closure of an eyelid. The SAM is driven by a cam mechanism that provides a displacement profile closely matched with those of a healthy eyelid.
Patrick Pruscino   +7 more
wiley   +1 more source

DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

open access: yes, 2018
We present DeblurGAN, an end-to-end learned method for motion deblurring. The learning is based on a conditional GAN and the content loss . DeblurGAN achieves state-of-the art performance both in the structural similarity measure and visual appearance ...
Budzan, Volodymyr   +4 more
core   +1 more source

Deep Eyes: Binocular Depth-from-Focus on Focal Stack Pairs

open access: yes, 2020
Human visual system relies on both binocular stereo cues and monocular focusness cues to gain effective 3D perception. In computer vision, the two problems are traditionally solved in separate tracks.
A Newell   +10 more
core   +1 more source

Point-spread Function Ramifications and Deconvolution of a Signal Dependent Blur Kernel Due to Interpixel Capacitive Coupling [PDF]

open access: yesPublications of the Astronomical Society of the Pacific, 2018
Interpixel capacitance (IPC) is a deterministic electronic coupling that results in a portion of the collected signal incident on one pixel of a hybridized detector array being measured in adjacent pixels.
K. Donlon, Z. Ninkov, S. Baum
semanticscholar   +1 more source

TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications

open access: yesAdvanced Robotics Research, EarlyView.
TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince   +3 more
wiley   +1 more source

A Novel Method for the Deblurring of Photogrammetric Images Using Conditional Generative Adversarial Networks

open access: yesRemote Sensing, 2020
The visual data acquisition from small unmanned aerial vehicles (UAVs) may encounter a situation in which blur appears on the images. Image blurring caused by camera motion during exposure significantly impacts the images interpretation quality and ...
Pawel Burdziakowski
doaj   +1 more source

Reblur2Deblur: Deblurring Videos via Self-Supervised Learning

open access: yes, 2018
Motion blur is a fundamental problem in computer vision as it impacts image quality and hinders inference. Traditional deblurring algorithms leverage the physics of the image formation model and use hand-crafted priors: they usually produce results that ...
Chen, Huaijin   +5 more
core   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

open access: yesAdvanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

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