Results 91 to 100 of about 3,909,906 (397)
Stereo Visual Odometry with Deep Learning-Based Point and Line Feature Matching using an Attention Graph Neural Network [PDF]
arXiv, 2023 Robust feature matching forms the backbone for most Visual Simultaneous Localization and Mapping (vSLAM), visual odometry, 3D reconstruction, and Structure from Motion (SfM) algorithms. However, recovering feature matches from texture-poor scenes is a major challenge and still remains an open area of research.
arxiv
Color Features Comparison for Segments Matching
Conference on Colour in Graphics, Imaging, and Vision, 2006 In the field of the localization of in-door mobile robot, a method consists in extracting line segments from two stereoscopic images and in pairing line segments from the first image with those from the second image. With pairs of line segments, it is possible to measure distances between robot and objects of the environment. The pairing phase requires
Montagne, Christophe +2 more
openaire +4 more sources
Making tau amyloid models in vitro: a crucial and underestimated challenge
FEBS Letters, EarlyView.This review highlights the challenges of producing in vitro amyloid assemblies of the tau protein. We review how accurately the existing protocols mimic tau deposits found in the brain of patients affected with tauopathies. We discuss the important properties that should be considered when forming amyloids and the benchmarks that should be used to ...
Julien Broc, Clara Piersson, Yann Fichou
wiley +1 more source
A stereo matching algorithm based on the improved PSMNet.
PLoS ONE, 2021 Deep learning based on a convolutional neural network (CNN) has been successfully applied to stereo matching. Compared with the traditional method, the speed and accuracy of this method have been greatly improved.
Zedong Huang +3 more
doaj +1 more source
Feature Level Fusion of Face and Fingerprint Biometrics [PDF]
, 2010 The aim of this paper is to study the fusion at feature extraction level for face and fingerprint biometrics. The proposed approach is based on the fusion of the two traits by extracting independent feature pointsets from the two modalities, and making ...
Bicego, Manuele +3 more
core
3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration
, 2018 In this paper, we propose the 3DFeat-Net which learns both 3D feature detector and descriptor for point cloud matching using weak supervision. Unlike many existing works, we do not require manual annotation of matching point clusters.
A Gordo +12 more
core +1 more source
FEBS Letters, EarlyView.α2 → 8 polysialic acid elicits poor immunogenicity. Small‐angle scattering shows a supramolecular structure with parallel‐chain binding, although in different forms at μm and mm calcium. The major histocompatibility complex requires molecular weights around 2000 Da to produce antibodies, and 2000 Da polysialic oligomers will bind in these structures ...
Kenneth A. Rubinson
wiley +1 more source
FEBS Letters, EarlyView.Venom peptides have shown promise in treating pain. Our study uses computer screening to identify a peptide that targets a sodium channel (NaV1.7) linked to chronic pain. We produced the peptide in the laboratory and refined its design, advancing the search for innovative pain therapies.
Gagan Sharma +8 more
wiley +1 more source
A Method for Detecting Feature-Sparse Regions and Matching Enhancement
Remote Sensing, 2022 Image matching is a key research issue in the intelligent processing of remote sensing images. Due to the large phase differences or apparent differences in ground features between unmanned aerial vehicle imagery and satellite imagery, as well as the ...
Longhao Wang +5 more
doaj +1 more source
Remote Sensing, 2023 Remote sensing image registration has been a very important research topic, especially the registration of heterologous images. In the research of the past few years, numerous registration algorithms for heterogenic images have been developed, especially
Jianmeng He +5 more
doaj +1 more source