This paper proposes a novel image mosaic method based on SIFT (Scale Invariant Feature Transform) feature of line segment, aiming to resolve incident scaling, rotation, changes in lighting condition, and so on between two images in the panoramic image mosaic process. This method firstly uses Harris corner detection operator to detect key points. Secondly, it constructs directed line segments, d...

In this paper a comparative study between Moravec and Harris Corner Detection has been done for obtaining features required to track and recognize objects within a noisy image. Corner detection of noisy images is a challenging task in image processing. Natural images often get corrupted by noise during acquisition and transmission. As Corner detection of these noisy images does not provide desi...

Recognizing human actions is currently one of the most active research topics. Efros et al. first proposed using optical flow and normalized correlation to recognize distant actions. One weakness of the method is that optical flow is too noisy and cannot reveal the true motions; the other popular method is the space-time-interest-points proposed by Laptev et al., who extended the Harris corner ...

Corner detection is a fundamental step in image processing, and it takes an important role in target tracking, image stitching and three-dimension reconstruction. Harris algorithm is widely used in corner detection for simple calculation and its detection result is not affected by image rotation and light intensity changes. Harris algorithm uses integral differential mask to extract the image g...

This report evaluates the stability of two image interest point detectors, starpattern points and points based on the fourth order tensor. The Harris operator is also included for comparison. Different image transformations are applied and the repeatability of points between a reference image and each of the transformed images are computed. The transforms are plane rotation, change in scale, ch...

X-corner patterns are most widely used in camera calibration. In this paper, we propose a new sub-pixel detector for X-corners, which is much simpler than the traditional sub-pixel detection algorithm. In this new algorithm, the pixel position of X-corner is firstly detected by a new operator. Then a second order Taylor polynomial describing the local intensity profile around the corner is educ...

In this paper, an improved method for estimating fundamental matrix is proposed. The method is applied effectively to monocular camera based moving object detection. The method consists of corner points detection, moving object’s motion estimation and fundamental matrix calculation. The corner points are obtained by using Harris corner detector, motions of moving objects is calculated from pyra...

An efficient and novel technique is developed for detecting and localizing corners of planar curves. This paper discusses the gradient feature distribution of planar curves and constructs gradient correlation matrices (GCMs) over the region of support (ROS) of these planar curves. It is shown that the eigenstructure and determinant of the GCMs encode the geometric features of these curves, such...

Recently, many robotic applications adopted omnidirectional vision sensors. The achievement of those applications is usually based on computer vision algorithms by means of visual indices extraction from the acquired images, such as edge, region, and interest points detection. The use of classical image processing algorithms for omnidirectional images proved its limitations. Some new methods wh...

Historic aerial photos are typically very popular, sought-after collections in library archives. Their ability to be used in GIS is limited, however, by the laborious and painstaking georeferencing process. A method is presented for automating the georeferencing of historic aerial photography. In this method, the Harris Corner Detector is used to detect corner points in already-georeferenced an...