Results 241 to 250 of about 384,568 (276)

Gray-level corner detection

Pattern Recognition Letters, 1982
The usual approach to detecting corners in shapes involves first segmenting the shape, then locating the corners in its boundary. We present several techniques for measuring 'cornerity' values in gray-level images, without prior segmentation, so that corners can be detected by thresholding these values.
Les Kitchen, Azriel Rosenfeld
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Concurrent Edge and Corner Detection

2007 IEEE International Conference on Image Processing, 2007
To enable fast reliable feature matching or tracking in scenes, features need to be discrete and meaningful, and hence corner detection is often used for this purpose. However, to obtain a higher level description of an image, such as identification of objects, additional information such as edges is required, and more recently detectors have been ...
Sonya A. Coleman, Dermot Kerr, Bryan W. Scotney   +2 more
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A practical solution to corner detection

Proceedings of 1st International Conference on Image Processing, 2002
A new corner detection algorithm has been developed based on the observation of surface curvature. The algorithm utilizes a linear interpolation scheme for intermediate pixel addressing in the differentiation step, which results in improved accuracy of corner localisation and reduced computational complexity.
Han Wang 0001, Michael Brady 0001
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A NEW APPROACH TO CORNER DETECTION

2006
A new approach for detection of corner points in planar curves is presented in this paper. Detection of corner point is based on calculation of distances from the straight line joining two contour points on two sides of that corner. The presented algorithm is simple to implement, efficient and robust to noise. It performs well on noisy shapes and leads
Muhammad Sarfraz 0001, Asif Masood, Muhammed Rafiq Asim   +2 more
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Corner detection for chain-coded curves

SPIE Proceedings, 1993
A corner detection scheme for chain coded curves is proposed that significantly improves on the performance of current algorithms. The proposed scheme measures the number of links to either side of a point that can produce the largest digital straight line.
Jack Koplowitz, Stephen Plante
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Corner detection using the MAP technique

Proceedings of 12th International Conference on Pattern Recognition, 2002
This paper describes a corner detection method that obtains maximum a posteriori estimates for the corner location in a given sequence of points. The authors model an ideal corner as the intersection of two ideal line segments. The perturbations on the sample points in a given line segment are assumed to be i.i.d Gaussian random variables of zero mean ...
Xining Zhang, Robert M. Haralick, Visvanathan Ramesh   +2 more
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A MORPHOLOGICAL OPERATOR FOR CORNER DETECTION

Pattern Recognition, 1998
Abstract This paper presents a new operator for corner detection. This operator uses a variant of the morphological closing operator, which we have called asymmetrical closing. It consists of the successive application of different morphological operators using different structuring elements. Each of these structuring elements used to probe the image
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Corner detection in curvilinear dot grouping

Biological Cybernetics, 1988
Corners, or discontinuities in orientation, are one of the most salient and useful properties of contours. But how sensitive are we in detecting them, and what does this sensitivity imply about the processes by which corners can be detected. In this paper we address both of these questions, starting with the observation that changing the sampling phase
N K, Link, S W, Zucker
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Corner Detection Based on a Dynamic Measure of Cornerity

2022
Yang Zhang, Baojiang Zhong, Xun Sun
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Corner detection based on estimated eigenvalues

Proceedings of the 23rd Spring Conference on Computer Graphics, 2007
Corner detection is important part of many image analysis methods and the result of corner detection is essential for performance of stereo vision, augmented reality, etc. This paper proposes a new method of corner detection based on autocorrelation matrix estimated eigen-values and compares the new method with several frequently used methods The new ...
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