The uniformity of the WFC detector response has been assessed by using multiple dithered pointings of moderately dense stellar fields. By placing the same star over different portions of the detector and measuring relative changes in brightness, local variations in the response of the detector have been measured. The original WFC laboratory flat fields produce photometric errors of to percent f...

We present a corner-detection algorithm based on a model for end-stopping cells in the visual cortex. Shortcomings of this model are overcome by a combination over several scales. The notion of an end-stopped cell and the resulting corner detector is generalized to color channels in a biologically plausible way. The resulting corner detection method yields good results in the presence of high f...

This paper examines a novel approach for extracting motion information to allow the autonomous navigation of an intelligent mobile robot using computer vision in a moving camera, moving object environment. The approach begins by extracting low-level scene feature information using algorithms such as the SUSAN corner and edge detector. A routine is described for converting the information obtain...

We present a corner-detection algorithm based on a model for end-stopping cells in the visual cortex. Shortcomings of this model are overcome by a combination over several scales. The notion of an end-stopped cell and the resulting corner detector is generalized to color channels in a biologically plausible way. The resulting corner detection method yields good results in the presence of high f...

This paper deals with a proposing a new approach to specify corner points coordinates in subpixel accuracy. The describing algorithm uses the regular cornerness map obtained from the usual corner detectors as initial step. The main idea is to consider the cornerness values from a neighboring area around found corner point as a 3D profile object and to find the coordinates of its centroid. The p...

In this paper, Harris Corner Detector is proposed as a corner detection technique to extract palmprint features in the form of corners. Here, hamming distance similarity measurement using sliding window method is used as a feature matching method for the corners detected. The aim of using hamming distance method for corner matching is the non-dependency of the method with the number of corners ...

In this paper, a novel multi-scale nonlinear structure tensor based corner detection algorithm is proposed to improve effectively the classical Harris corner detector. By considering both the spatial and gradient distances of neighboring pixels, a nonlinear bilateral structure tensor is constructed to examine the image local pattern. It can be seen that the linear structure tensor used in the o...

This paper describes a novel method for image corner detection based on the curvature scale-space (CSS) representation. The first step is to extract edges from the original image using a Canny detector. The corner points of an image are defined as points where image edges have their maxima of absolute curvature. The corner points are detected at a high scale of the CSS and tracked through multi...

Goal A very fast, high quality corner detector. Contributions 1. The segment-test algorithm for detecting features. 2. Machine learning used to create very efficient implementation: the FAST feature detector. 3. Extensive testing of the new detector against existing ones. Results 1. Extremely fast feature detector: uses less than 7% of the available CPU time in live video feeds. 2. Very high qu...

In this paper we propose a modified morphological corner detection method which finds convex and concave significant points using simple integer computation. We use the morphological peak extractor to detect convex corners and use a modified valley extractor to detect concave corners. Moreover, information of the distances between pixels on the boundary segment determined by two contiguous sign...