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 …

Corner detection is important in image analysis and understanding, but most existing corner
detectors are sensitive to image quality, lens radial distortion, and illumination. In this paper …

Corner detection is a fundamental step for many computer vision applications to detect the
salient image features. Recently, FAST corner detector has been proposed to detect the high …

Contour-based corner detectors directly or indirectly estimate a significance measure (eg,
curvature) on the points of a planar curve and select the curvature extrema points as …

Corners in images represent a lot of important information. Extracting corners accurately is
significant to image processing, which can reduce much of the calculations. In this paper …

Reliable corner detection is an important task in detemvning the shape of different regions
within an image. Real-life image data are always imprecise due to inherent uncertainties …

Many contour-based image corner detectors are based on the curvature scale-space (CSS).
We identify the weaknesses of the CSS-based detectors. First, the ldquocurvaturerdquo itself …

Corner detection is an important step in the image processing of machine vision. An
improved algorithm is proposed in this paper following the analysis on the existing corner …

Many image features are proved to be good candidates for recognition. Among them are
edges, lines, corners, junctions or interest points in general. Importance of corner detection …

This paper presents a new, simple and effective low level processing method to obtain
features such as edges and corners. In both edge and corner extraction algorithms, we use …