In this paper we introduce ShortStraw, a simple and highly accurate polyline corner finder. ShortStraw uses a bottom-up approach to find corners by: (1) resampling the points of the stroke, (2) calculating the “straw ” distance between the endpoints of a window around each resampled point, and (3) taking the points with the minimum straw distance to be corners. Using an all-or-nothing accuracy measure, ShortStraw achieves an accuracy more than twice that of the current best benchmark. Categories and Subject Descriptors (according to ACM CCS): I.4.6 [Segmentation]: Edge and feature detection 1
In this paper we developed a new approach to extract points descriptor used for pattern recognition ...
Many image features are proved to be good candidates for recognition. Among them are edges, lines, c...
Accurate detection towards the corners plays an important part in camera calibration. To deal with t...
Abstract In this paper we introduce ShortStraw, a simple and highly accurate polyline corner finder....
We present IStraw, a new corner finding technique based on an analysis of the ShortStraw algorithm. ...
We present IStraw, a corner finding technique based on the ShortStraw algorithm. This new algorithm ...
We present a new corner finding algorithm based on merging like stroke segmentations together in ord...
In areas like pattern recognition, motion analysis, outline capturing, reconstruction of objects etc...
We present two new corner detectors; one works by using dissimilarity along the contour direction to...
Copyright © 2004 Elsevier B.V. All rights reserved.In this paper we assess the performance of a vari...
Corner detection is important because of getting a subset of points from the set of all picture poin...
Corners are important features in images because they typically delimit the boundaries of regions or...
Abstract. We define corner points in an image as the intersections among detected straight line segm...
In this paper, a novel corner detection method is presented to stably extract geometrically importan...
Abstract—This paper describes a novel method for image corner detection based on the curvature scale...
In this paper we developed a new approach to extract points descriptor used for pattern recognition ...
Many image features are proved to be good candidates for recognition. Among them are edges, lines, c...
Accurate detection towards the corners plays an important part in camera calibration. To deal with t...
Abstract In this paper we introduce ShortStraw, a simple and highly accurate polyline corner finder....
We present IStraw, a new corner finding technique based on an analysis of the ShortStraw algorithm. ...
We present IStraw, a corner finding technique based on the ShortStraw algorithm. This new algorithm ...
We present a new corner finding algorithm based on merging like stroke segmentations together in ord...
In areas like pattern recognition, motion analysis, outline capturing, reconstruction of objects etc...
We present two new corner detectors; one works by using dissimilarity along the contour direction to...
Copyright © 2004 Elsevier B.V. All rights reserved.In this paper we assess the performance of a vari...
Corner detection is important because of getting a subset of points from the set of all picture poin...
Corners are important features in images because they typically delimit the boundaries of regions or...
Abstract. We define corner points in an image as the intersections among detected straight line segm...
In this paper, a novel corner detection method is presented to stably extract geometrically importan...
Abstract—This paper describes a novel method for image corner detection based on the curvature scale...
In this paper we developed a new approach to extract points descriptor used for pattern recognition ...
Many image features are proved to be good candidates for recognition. Among them are edges, lines, c...
Accurate detection towards the corners plays an important part in camera calibration. To deal with t...