Results 261 to 270 of about 78,444 (298)
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Detecting Corners for 3D Objects
International Journal of Computer Vision and Image Processing, 2011In this paper, a corner detection algorithm for 3D objects is presented. This algorithm is an extension of corner detection scheme for planar objects (Chetrikov & Zsabo, 1999). This algorithm finds corners and other high curvature points for 3D objects.
Misbah Irshad +2 more
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Morphological corner detection
Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), 2002This 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 transformations using different structuring elements.
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Moment-preserving corner detection
Pattern Recognition, 1990Abstract A new corner detection method based on the principle of preserving gray and mass moments is proposed. For each circular region in a digital image, bilevel thresholding based on gray moment preserving is used first to transform the blurred subimage in the region into a binary picture.
Song-Tyang Liu, Wen-Hsiang Tsai
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Corner detection with covariance propagation
Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2002This paper presents a statistical approach for detecting corners from chain encoded digital arcs. An arc point is declared as a corner if the estimated parameters of the two fitted lines of the two arc segments immediately to the right and left of the are point are statistically significantly different.
Qiang Ji, Robert M. Haralick
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Ridge's corner detection and correspondence
Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2002Traditionally, corners are found along step edges. In this paper we present an alternative approach-corners along ridges/troughs and local minima points. These features seem to be more reliable for tracking. A new approach for sub-pixel localization of these corners is suggested, using a local approximation of the image surface.
Erez Shilat +2 more
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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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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, 2007To 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 +2 more
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A practical solution to corner detection
Proceedings of 1st International Conference on Image Processing, 2002A 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
2006A 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 +2 more
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Corner detection for chain-coded curves
SPIE Proceedings, 1993A 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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