Results 71 to 80 of about 3,909,906 (397)
Towards Adversarial Robustness via Feature Matching
Image classification systems are known to be vulnerable to adversarial attacks, which are imperceptibly perturbed but lead to spectacularly disgraceful classification.
Zhuorong Li+4 more
doaj +1 more source
Adaptive depth constraint-based underwater binocular image feature matching
Objective In this paper, to address sparse feature points and unique epipolar constraints, an adaptive depth constraint-based underwater feature matching (ADC-UFM) scheme is proposed.
Jiahe TIAN+4 more
doaj +1 more source
Fast Matching of Binary Features [PDF]
There has been growing interest in the use of binary-valued features, such as BRIEF, ORB, and BRISK for efficient local feature matching. These binary features have several advantages over vector-based features as they can be faster to compute, more compact to store, and more efficient to compare.
Marius Muja, David G. Lowe
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Feature matching algorithm based on partial limitation search region
This paper proposes a feature matching algorithm for partial limitation search regions, which combines spatial constraints with local descriptors. Based on the ASIFT algorithm, this paper improves the defects of directly removing one-to-many and many-to ...
Zhang Zhenning, Li Zheng, Zheng Junwei
doaj +1 more source
To improve the accuracy of feature extraction and description of various scales in traditional Oriented FAST and Rotated BRIEF (ORB) feature matching algorithm, this paper proposes an ORB feature matching algorithm based on multi-scale feature ...
Chengxian Yao+5 more
doaj +1 more source
Robust feature matching in the wild [PDF]
Finding corresponding key points in images from security camera videos is challenging. Images are generally low quality and acquired in uncontrolled conditions with visual distortions caused by weather, crowded scenes, emergency lighting or the high angle of the camera mounting.
Craig Henderson, Ebroul Izquierdo
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AMatFormer: Efficient Feature Matching via Anchor Matching Transformer [PDF]
Learning based feature matching methods have been commonly studied in recent years. The core issue for learning feature matching is to how to learn (1) discriminative representations for feature points (or regions) within each intra-image and (2) consensus representations for feature points across inter-images.
arxiv
Improved ORB-FLANN efficient matching method for coal gangue image
In order to solve the problem of grasping failure or missing grasping due to the change of target gangue position and posture caused by belt slip, deviation and belt speed fluctuation of belt conveyor when the gangue sorting robot sorts gangue, an ...
Hongwei MA+6 more
doaj +1 more source
Soft Tissue Feature Tracking Based on Deep Matching Network
Research in the field of medical image is an important part of the medical robot to operate human organs. A medical robot is the intersection of multi-disciplinary research fields, in which medical image is an important direction and has achieved ...
Siyu Lu+6 more
semanticscholar +1 more source
Feature Matching in Time Series Modeling
Using a time series model to mimic an observed time series has a long history. However, with regard to this objective, conventional estimation methods for discrete-time dynamical models are frequently found to be wanting. In fact, they are characteristically misguided in at least two respects: (i) assuming that there is a true model; (ii) evaluating ...
Xia, Y., Tong, H.
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