Results 41 to 50 of about 615,528 (247)
TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications
Advanced 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
Mixture of Gaussian Blur Kernel Representation for Blind Image Restoration
, 2019 The use of blind image restoration, sharpness of edges may frequently be restored using previous information from a picture. De-blurring is the technique of taking out blurring flaws of the steady photographs, including motion or defocus aberration ...
Vimal , Vrince
core +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Advanced 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
Unsupervised Blur Kernel Estimation and Correction for Blind Super-Resolution
IEEE Access, 2022 Blind super-resolution (blind-SR) is an important task in the field of computer vision and has various applications in real-world. Blur kernel estimation is the main element of blind-SR along with the adaptive SR networks and a more accurately estimated ...
Youngsoo Kim +3 more
doaj +1 more source
Advanced Robotics Research, EarlyView.A balanced multimodal food‐waste dataset and a novel Split Spatial‐Spectral Attention fusion framework are presented for robotic contaminant detection. Separate processing of RGB, thermal, and multispectral inputs preserves subtle material signatures before feature integration, reducing modality interference and improving classification and ...
Matthew Vestal +5 more
wiley +1 more source
Mathematical Degradation Model Learning for Terahertz Image Super-Resolution
IEEE Access, 2021 This study proposes a super-resolution (SR) method for terahertz time-domain spectroscopy (THz-TDS) images, combining a convolutional neural network (CNN) and a mathematical degradation model.
Yao Lu, Qi Mao, Jingbo Liu
doaj +1 more source
Longitudinal Morphomolecular Monitoring of Head and Neck Carcinogenesis
Advanced Science, EarlyView.A miniaturized endoscopic probe that integrates Raman spectroscopy and optical coherence tomography, enabling simultaneous molecular and structural imaging of living tissue, was developed. Applied longitudinally in a mouse model of head and neck cancer, the system tracks disease progression from precancerous lesions to invasive cancer.
Jianrong Qiu +7 more
wiley +1 more source
Blur Kernel Estimation by Using Bees Algorithm [PDF]
, 2016 Camera shake is a common source of degradation indigital images taken by an unmanned air vehicle (UAV).Usually, blur kernel is used to reduce the taken image. Blurkernel means the map of camera shake while photo is taken.Estimating an unknown blur kernel
ONAY, Murat
core
Visual discomfort and blur [PDF]
, 2013 This work was supported by a doctoral training grant from the BBSRC to LOH.Certain visual stimuli, such as striped patterns and filtered noise, have been reported to be uncomfortable.
Hibbard, Paul Barry +4 more
core +1 more source
Modeling nonstationary lens blur using eigen blur kernels for restoration [PDF]
, 2020 Images acquired through a lens show nonstationary blur due to defocus and optical aberrations. This paper presents a method for accurately modeling nonstationary lens blur using eigen blur kernels obtained from samples of blur kernels through principal ...
Gwak, Moonsung, Yang, Seungjoon
core +1 more source