Results 231 to 240 of about 384,568 (276)

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
openaire   +2 more sources

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
openaire   +1 more source

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

Detecting Corners for 3D Objects

International Journal of Computer Vision and Image Processing, 2011
In 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, Irfa Elahi, Malik Zawwar Hussain   +2 more
openaire   +1 more source

Morphological corner detection

Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), 2002
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 transformations using different structuring elements.
openaire   +1 more source

Moment-preserving corner detection

Pattern Recognition, 1990
Abstract 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
openaire   +1 more source

Corner detection with covariance propagation

Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2002
This 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
openaire   +1 more source

Ridge's corner detection and correspondence

Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2002
Traditionally, 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, Michael Werman, Yoram Gdalyahu   +2 more
openaire   +1 more source