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Corner Detection Using Second-Order Generalized Gaussian Directional Derivative Representations

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Corner detection is a critical component of many image analysis and image understanding tasks, such as object recognition and image matching. Our research indicates that existing corner detection algorithms cannot properly depict the difference between ...
Weichuan Zhang, Changming Sun
exaly   +2 more sources

ECFRNet: Effective corner feature representations network for image corner detection

Expert Systems With Applications, 2023
Interest points (corners and blobs) play an important role in computer vision tasks such as image matching, image retrieval, and 3D reconstruction. Existing deep learning based interest point detection methods mainly focus on the interest point detection
Junfeng Jing, Chao Liu, Weichuan Zhang   +2 more
exaly   +2 more sources

Discrete Curvature Representations for Noise Robust Image Corner Detection

IEEE Transactions on Image Processing, 2019
Image corner detection is very important in the fields of image analysis and computer vision. Curvature calculation techniques are used in many contour-based corner detectors.
Weichuan Zhang, Changming Sun
exaly   +3 more sources

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Corner detection

Pattern Recognition, 1990
Rajiv Mehrotra
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Fast corner detection

Image and Vision Computing, 1998
Abstract This paper describes a new corner detection algorithm, based on the property of corners that the change of image intensity should be high in all directions. Consequently, the corner response function (CRF) is computed as a minimum change of intensity over all possible directions.
Miroslav Trajkovic, Mark Hedley
exaly   +2 more sources

Efficient corner detection based on corner enhancement filters

Digital Signal Processing, 2022
Mingzhe Wang, Changming Sun, Arcot Sowmya   +2 more
exaly   +2 more sources

Model based corner detection

Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2002
A method is presented to correct an approximate polygonal sketch of an image object boundary by adjusting the location of each corner point in the sketch. The method is suitable for the segmentation of unknown images using interactive techniques, and for locating object boundaries in model-based segmentation.
Orange, C.M., Groen, F.C.A.
openaire   +2 more sources

Multi-resolution corner detection

Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101), 2002
In this paper we propose a novel technique for wavelet-based multi-resolution corner detection. The method is based on a search of the zero crossings of the Laplacian at different scales along the line that describes the trajectory of the maxima as the scale varies.
F. Pedersini, E. Pozzoli, SARTI, AUGUSTO, TUBARO, STEFANO   +3 more
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Wavelet based corner detection

Pattern Recognition, 1993
Abstract A non-parametric algorithm for detecting and locating corners of planar curves is proposed. The algorithm is based on the multiscale wavelet transform of the orientation of the curve which can effectively utilize both the information of local extrema positions and magnitudes of the transform results.
Jiann-Shu Lee, Yung-Nien Sun, Chin-Hsing Chen, Ching-Tsorng Tsai   +3 more
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An improved algorithm for corner detection

Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology, 2011
Since detection result is not good enough when detecting real image using line search mechanism corner detection algorithm, a feature selection criterion based on priority and adaptive non-maximal suppression (ANMS) is proposed in this paper to control the number and density of features in the image.
Chen Zhang, Mengyang Zhao, Liang Yuan
openaire   +1 more source