Results 111 to 120 of about 3,909,906 (397)

STAT3 expression is reduced in cardiac pericytes in HFpEF and its loss reduces cellular adhesion and induces pericyte senescence

open access: yesFEBS Letters, EarlyView.
Heart failure with preserved ejection fraction (HFpEF) accounts for half of the heart failure cases. It is characterised by microvascular dysfunction, associated with reduced pericyte coverage and diminished STAT3 expression in pericytes. Loss of STAT3 impairs pericyte adhesion, promotes senescence, and activates a pro‐fibrotic gene program.
Leah Rebecca Vanicek   +15 more
wiley   +1 more source

Feature-based Image Matching for Identifying Individual Kākā [PDF]

open access: yesarXiv, 2023
This report investigates an unsupervised, feature-based image matching pipeline for the novel application of identifying individual k\=ak\=a. Applied with a similarity network for clustering, this addresses a weakness of current supervised approaches to identifying individual birds which struggle to handle the introduction of new individuals to the ...
arxiv  

Cluster-Wise Ratio Tests for Fast Camera Localization

open access: yes, 2017
Feature point matching for camera localization suffers from scalability problems. Even when feature descriptors associated with 3D scene points are locally unique, as coverage grows, similar or repeated features become increasingly common.
Díaz, Raúl, Fowlkes, Charless C.
core   +1 more source

Unlocking the potential of tumor‐derived DNA in urine for cancer detection: methodological challenges and opportunities

open access: yesMolecular Oncology, EarlyView.
Urine is a rich source of biomarkers for cancer detection. Tumor‐derived material is released into the bloodstream and transported to the urine. Urine can easily be collected from individuals, allowing non‐invasive cancer detection. This review discusses the rationale behind urine‐based cancer detection and its potential for cancer diagnostics ...
Birgit M. M. Wever   +1 more
wiley   +1 more source

Pentagon-Match (PMatch): Identification of View-Invariant Planar Feature for Local Feature Matching-Based Homography Estimation [PDF]

open access: yesarXiv, 2023
In computer vision, finding correct point correspondence among images plays an important role in many applications, such as image stitching, image retrieval, visual localization, etc. Most of the research works focus on the matching of local feature before a sampling method is employed, such as RANSAC, to verify initial matching results via repeated ...
arxiv  

Feature matching using guidance‐constraint method

open access: yesIET 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

Matching Multi-Source Optical Satellite Imagery Exploiting a Multi-Stage Approach

open access: yesRemote Sensing, 2017
Geometric distortions and intensity differences always exist in multi-source optical satellite imagery, seriously reducing the similarity between images, making it difficult to obtain adequate, accurate, stable, and well-distributed matches for image ...
Yuxuan Liu, Fan Mo, Pengjie Tao
doaj   +1 more source

Object Edge Contour Localisation Based on HexBinary Feature Matching [PDF]

open access: yes, 2014
This paper addresses the issue of localising object edge contours in cluttered backgrounds to support robotics tasks such as grasping and manipulation and also to improve the potential perceptual capabilities of robot vision systems.
Aragon-Camarasa, Gerardo   +2 more
core  

EFANet: Exchangeable Feature Alignment Network for Arbitrary Style Transfer

open access: yes, 2019
Style transfer has been an important topic both in computer vision and graphics. Since the seminal work of Gatys et al. first demonstrates the power of stylization through optimization in the deep feature space, quite a few approaches have achieved real ...
Gong, Minglun   +4 more
core   +1 more source

Multiple feature models for image matching [PDF]

open access: yesIEEE International Conference on Image Processing 2005, 2005
This work is partially supported by the Spanish Ministerio de Ciencia y Tecnología,under grant TIC2002-03033.
Morales Sánchez, Juan   +3 more
openaire   +3 more sources

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