Results 11 to 20 of about 78,444 (298)
An Axiomatic Approach to Corner Detection [PDF]
2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005 This paper presents an axiomatic approach to corner detection. In the first part of the paper we review five currently used corner detection methods (Harris-Stephens, Forstner, Shi-Tomasi, Rohr, and Kenney et al ) for graylevel images. This is followed by a discussion of extending these corner detectors to images with different pixel dimensions such as
Charles S. Kenney +2 more
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Quantum fast corner detection algorithm [PDF]
Quantum Information Processing, 2023 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yuan, S, Lin, W, Hang, B, Meng, H
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Journal of Computers, 2008 This study presents a boundary-based corner detection method that achieves robust detection for digital objects containing wide angles and various curves using curvature. The boundary of an object is first represented into curvature measured by K-cosine. Then, by modifying the corner detection error, this study proposes a suitable K value and curvature
Te-hsiu Sun
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Nearest Neighbour Corner Points Matching Detection Algorithm
MATEC Web of Conferences, 2015 Accurate detection towards the corners plays an important part in camera calibration. To deal with the instability and inaccuracies of present corner detection algorithm, the nearest neighbour corners match-ing detection algorithms was brought forward ...
Zhang Changlong +3 more
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Bayesian Corner Detection [PDF]
Procedings of the British Machine Vision Conference 1993, 1993 Corners play important roles in high level image understanding. They are the main features in many 2D or 3D image models associated with image understanding algorithms. The Bayesian corner detection method inputs a sequence of row-column pairs along an arc and outputs the corner positions and the corner included angles that maximize the a posteriori ...
Xining Zhang, Robert M. Haralick
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Corner Case Data Description and Detection [PDF]
2021 IEEE/ACM 1st Workshop on AI Engineering - Software Engineering for AI (WAIN), 2021 As the major factors affecting the safety of deep learning models, corner cases and related detection are crucial in AI quality assurance for constructing safety- and security-critical systems. The generic corner case researches involve two interesting topics.
Tinghui Ouyang +5 more
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A Benchmark for the Evaluation of Corner Detectors
Applied Sciences, 2022 Corners are an important kind of image feature and play a crucial role in solving various tasks. Over the past few decades, a great number of corner detectors have been proposed.
Yang Zhang, Baojiang Zhong, Xun Sun
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Improvement of Harris Algorithm Based on Gaussian Scale Space [PDF]
Engineering and Technology Journal, 2019 Features is the description of the image contents which could be corner, blob or edge. Corners are one of the most important feature to describe image, therefore there are many algorithms to detect corners such as Harris, FAST, SUSAN, etc.
Abdul Amir Karim, Rafal Sameer
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Corner detection based on multi-scale and multi-directional Gabor filter
Xi'an Gongcheng Daxue xuebao, 2021 In corner detection, the ability of two-dimensional Gabor feature to distinguish corners is not verified, and the description of pixel neighborhood features has defects.
Junfeng JING, Ning LI, Weichuan ZHANG
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Detecting time-varying corners [PDF]
Computer Vision, Graphics, and Image Processing, 1984 The algorithms for structure from motion require solution of the correspondence problem. By detecting only time-varying tokens, the problem may be significantly simplified. In this paper, a time-varying corner detector is described which is based on the and operation between the cornerness and the temporal derivative.
Mubarak Shah, Ramesh C. Jain
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