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A problem of interest point detection in camera images, i.e. detection of points with high information content is studied. An overview of existing techniques is given. A modified Harris-Laplace interest point detector is proposed and experimental results are given. Proposed detector generates a smaller number of detected points, resulting in less complex matching. The aim is to use interest point...
In using image analysis to assist a driver to avoid obstacles on the road, traditional approaches rely on various detectors designed to detect different types of objects. We propose a framework that is different from traditional approaches in that it focuses on finding a clear path ahead. We assume that the video camera is calibrated offline (with known intrinsic and extrinsic parameters) and vehicle...
Corner detection is a main concern in many computer vision applications like object recognition or image matching. Furthermore, detection is usually performed over the contour of the objects. This paper presents a novel algorithm to detect corners based on CSS (curvature scale space). A multi-scale curvature polynomial is defined as the sum or product of the curvature under all scales of the contour...
An algorithm of airfield runway detection from high resolution synthetic aperture radar image is proposed. Runways are identified by using Hough transform technique, followed by a series of speckle suppression and region of interest (ROI) segmentation. First, speckle suppression based on edge preserving is described. Then, constant false alarm rate detector with probability iteration is used for ROI...
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