This paper presents an adaptive thresholding approach intended to increase the number of detected corners, while reducing the amount of those ones corresponding to noisy data. The proposed approach works by using the classical Harris corner detector algorithm and overcome the difficulty in finding a general threshold that work well for all the images in a given data set by proposing a novel ada...

Blurred features introduce ambiguities during landmark identiication and placement which can account for an increase in local distortions during the registration procedure. To minimise placement errors three enhancement procedures based on spatial competition, feature selection and feature thresholding are proposed and experimentally investigated. 6.1 Feature detection and representation In cha...

We argue that a corner detector should be based on the degree of continuity of the tangent vector to the image level sets, work on the image domain and need no assumptions on neither the image local structure nor the particular geometry of the corner/junction. An operator measuring the degree of differentiability of the projection matrix on the image gradient fulfills the above requirements. It...

The paper starts with presenting three curvature estimators which follow definitions (approaches) in differential geometry. Digital-straight segment (DSS) approximation is used in those estimators, we point to problems caused by this approach, and propose simple ways for eliminating those problems. The paper then informs about multigrid analysis experiments, where all estimators appear to be mu...

Character segmentation and detection play a very important role in the license plate recognition (LPR) system. For accurate character segmentation first need is to remove skew from the received license plate for the night vision images. Skew is the angle by which the image seems to be deviated from its perceived steady state position. To solve the problem, a combined approach for skew correctio...

In this paper we provide a method for evaluating interest point detectors independently of image descriptors. This is possible because we have compiled a unique data set enabling us to determine if common interest points are found. The data contains 60 scenes of a wide range of object types, and for each scene we have 119 precisely located camera positions obtained from a camera mounted on an i...

Image corner detection is a fundamental task in computer vision. Many applications require reliable detectors to accurately detect corner points, commonly achieved by using image contour information. The curvature definition is sensitive to local variation and edge aliasing, and available smoothing methods are not sufficient to address these problems properly. Hence, we propose Mean Projection ...

In order to represent and reconstruct sharp features (i.e., corners) by an implicitly defined curve, we add so–called corner detector functions, which are special radial basis functions, to the function defining the initial curve. The parameters controlling them are automatically adjusted by applying an evolution process.

Palmprint is one of the most reliable physiological biometric due to its unique and permanent features like geometry features, principal line features, wrinkles, ridges, delta point features, texture features and points. Here, Phase Congruency Corner Detector method is proposed as a corner detection technique to extract palmprint features in the form of corners. The palmprint features extracted...

This proposed research work describes a system that is used for recognition and classification of vehicles from low vision video footage captured by surveillance cameras. It's an important step for many applications in intelligent transportation systems and video surveillance. For carrying out the above said process, first step is detection of the vehicles present in the enhanced video frame & ...