Results 21 to 30 of about 45,357 (264)

AMBIGUITY CONCEPT IN STEREO MATCHING PIPELINE [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021
In a 3D reconstruction pipeline, stereo matching step aims at computing a disparity map representing the depth between image pair. The evaluation of the disparity map can be done through the estimation of a confidence metric.
E. Sarrazin, M. Cournet, L. Dumas, V. Defonte, Q. Fardet, Y. Steux, N. Jimenez Diaz, E. Dubois, D. Youssefi, F. Buffe   +9 more
doaj   +1 more source

Human perception faithful curve reconstruction based on persistent homology and principal curve

Graphical Models
Reconstructing curves that align with human visual perception from a noisy point cloud presents a significant challenge in the field of curve reconstruction. A specific problem involves reconstructing curves from a noisy point cloud sampled from multiple
Yu Chen, Hongwei Lin, Yifan Xing
doaj   +1 more source

High Order Side-Channel Security for Elliptic-Curve Implementations

Transactions on Cryptographic Hardware and Embedded Systems, 2022
Elliptic-curve implementations protected with state-of-the-art countermeasures against side-channel attacks might still be vulnerable to advanced attacks that recover secret information from a single leakage trace.
Sonia Belaïd, Matthieu Rivain
doaj   +1 more source

Inflation persistence, noisy information and the Phillips curve [PDF]

, 2023
Jose E Gallegos
openalex   +2 more sources

Lithium-Ion Battery State of Health Estimation Based on Feature Reconstruction and Transformer-GRU Parallel Architecture

Energies
Estimating the state of health of lithium-ion batteries in energy storage systems is a key step in their subsequent safety monitoring and energy optimization management.
Bing Chen, Yongjun Zhang, Jinsong Wu, Hongyuan Yuan, Fang Guo   +4 more
doaj   +1 more source

Identifying key differences between linear stochastic estimation and neural networks for fluid flow regressions

Scientific Reports, 2022
Neural networks (NNs) and linear stochastic estimation (LSE) have widely been utilized as powerful tools for fluid-flow regressions. We investigate fundamental differences between them considering two canonical fluid-flow problems: (1) the estimation of ...
Taichi Nakamura, Kai Fukami, Koji Fukagata   +2 more
doaj   +1 more source

ScatterHough: Automatic Lane Detection from Noisy LiDAR Data

Sensors, 2022
Lane detection plays an essential role in autonomous driving. Using LiDAR data instead of RGB images makes lane detection a simple straight line, and curve fitting problem works for realtime applications even under poor weather or lighting conditions ...
Honghao Zeng, Shihong Jiang, Tianxiang Cui, Zheng Lu, Jiawei Li, Boon-Giin Lee, Junsong Zhu, Xiaoying Yang   +7 more
doaj   +1 more source

Quantifying the information in noisy epidemic curves [PDF]

, 2022
Kris V. Parag, Christl A. Donnelly, Alexander E. Zarebski   +2 more
openalex   +3 more sources

Improved river flow and random sample consensus for curve lane detection

Advances in Mechanical Engineering, 2015
Accurate and robust lane detection, especially the curve lane detection, is the premise of lane departure warning system and forward collision warning system.
Huachun Tan, Yang Zhou, Yong Zhu, Danya Yao, Jianqiang Wang   +4 more
doaj   +1 more source

Real‐time assay of ribonucleotide reductase activity with a fluorescent RNA aptamer

FEBS Letters, EarlyView.
Ribonucleotide reductases (RNR) synthesize DNA building blocks de novo, making them crucial in DNA replication and drug targeting. FLARE introduces the first single‐tube real‐time coupled RNR assay, which enables isothermal tracking of RNR activity at nanomolar enzyme levels and allows the reconstruction of allosteric regulatory patterns and rapid ...
Jacopo De Capitani, Noemi E. Nwosu, Viktoria Gocke, Müge Kasanmascheff, Hannes Mutschler   +4 more
wiley   +1 more source