Results 71 to 80 of about 2,188,827 (291)
Complex & Intelligent SystemsRobust matching, especially the number, precision and distribution of feature point matching, directly affects the effect of 3D reconstruction. However, the existing methods rarely consider these three aspects comprehensively to improve the quality of ...
Zhenjiao Cai +5 more
doaj +1 more source
Feature matching using guidance‐constraint method
IET Computer Vision, 2016 Image distortions and repetitive patterns widely exist in real images, which results in that feature matching is still a challenging problem though great progress has been made recently.
Zhiheng Wang +4 more
doaj +1 more source
Structural insights and therapeutic targets in Acinetobacter baumannii capsule biosynthesis
FEBS Letters, EarlyView.Hypervirulent KL49 A. baumannii's capsular polysaccharide contains the nonulosonic acid 8‐epi‐Leg5,7Ac2, synthesized by epimerization via ElaA, ElaB, and ElaC. Crystal structures of ElaA, ElaB, and ElaC reveal their role in CMP‐Leg5,7Ac2 synthesis and regioselective C8 epimerization.
Woo Cheol Lee +7 more
wiley +1 more source
Science and Technology for Energy TransitionDue to the susceptibility of images to various factors such as scale changes, imaging conditions, and image noise, traditional feature point matching methods are difficult to achieve ideal matching accuracy, leading to many challenges in the automatic ...
Chen Keyu +5 more
doaj +1 more source
Monocular Vision SLAM Based on Probabilistic Motion Statistics Feature Matching [PDF]
Jisuanji gongcheng, 2019 In the current monocular vision Simultaneous Localization and Mapping(SLAM) process,the feature matching phase is time-consuming,and mismatches tend to occur,so the robot often has a slow initialization speed and low positioning accuracy.To address these
ZENG Weilin, LIU Guihua, CHEN Hao
doaj +1 more source
GLMNet: Graph Learning-Matching Networks for Feature Matching
CoRR, 2019 Recently, graph convolutional networks (GCNs) have shown great potential for the task of graph matching. It can integrate graph node feature embedding, node-wise affinity learning and matching optimization together in a unified end-to-end model. One important aspect of graph matching is the construction of two matching graphs.
Bo Jiang 0002 +3 more
openaire +2 more sources
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Reconstructing enzyme evolution by protein engineering
FEBS Letters, EarlyView.Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
MSM: a scaling-based feature matching algorithm for images with large-scale differences
International Journal of Digital EarthFeature matching represents a fundamental and critical problem in various tasks, including 3D reconstruction, simultaneous localization and mapping (SLAM) and preprocessing for remote sensing images.
Qifeng Ge +5 more
doaj +1 more source
FEBS Letters, EarlyView.The process of internalization of the Shiga toxin A subunit via formation of a complex with the Shiga toxin B subunit, which specifically binds to the Gb3 receptor. The peptide is designed to act as a carrier of drugs into cancer cells. Here, we explored the potential of peptides derived from the catalytic A subunit of Shiga toxin (STxA) to be drug ...
Giulia Opassi +6 more
wiley +1 more source