This paper describes how corner detection can be realised using a new feature representation that has recently been successfully exploited for edge and symmetry detection. The feature representation based on an magneto-static analogy. The idea is to compute a vector potential by appealing to an analogy in which the Canny edge-map is regarded as an elementary current density residing on the imag...

This paper addresses the problem of detection and delin-eation of interest points in images as part of an automatic image and video indexing for search by content purposes project. We propose a novel key point detector based on multiresolution contrast information. We compare this detector to the Plessey feature point detector as well as the detector introduced in the SUSAN project. As we are i...

Drawing tasks are used widely within neuropsychology for the assessment and monitoring of a variety of conditions. Automated assessment of these tasks improves their repeatability and accuracy in use alongside a reduction in trained therapist resource loading. Using images from test responses collected in an assessment of the condition of visuo-spatial neglect, this paper presents a method util...

Authentication time is the main and important part of the authentication system. Normally the response time should be fast but as the number of persons in the database increases, there is probability of more response time taken for authentication. The need of fast authentication system arises so that authentication time (matching time) is very less. This paper proposes a sliding window approach...

In this paper, a modified algorithm for the detection of nasal and temporal eye corners is presented. The algorithm is a modification of the Santos and Proenka Method. In the first step, we detect the face and the eyes using classifiers based on Haarlike features. We then segment out the sclera, from the detected eye region. From the segmented sclera, we segment out an approximate eyelid contou...

This paper proposes a new feature point detector which uses a wedge model to characterize corners by their orientation and angular width. This detector is compared to two popular feature point detectors: the Harris and SUSAN detectors, on the basis of some defined quality attributes. It is also shown how feature points between widely separated views can be matched by using the information provi...

An approach for vehicle detection system from satellite images, which are used in many applications. Vehicle detection is done by pixelwise classification method instead sliding window and region based methods, which are used in existing system. The vital part of the paper is feature extraction and vehicle colour classification. Feature extraction includes edge and corner detection. For edge de...

We propose a novel distinguished region detector called Maximally Stable Corner Cluster detector (MSCC). It is complementary to existing approaches like Harris-corner detectors, Difference of Gaussian detectors (DoG) or Maximally Stable Extremal Regions (MSER). The basic idea is to find distinguished regions by looking at clusters of interest points and using the concept of maximal stableness a...

This paper presents a novel approach for 3D Cranio-Facial reconstruction using Fast Corner detector. The Method involves Bilateral Filtering as the preprocessing step to suppress unwanted distortions.The contours representing the bony areas of the skull are extracted using Region of interest processing.The feature points required for the point cloud generation are detected by FAST corner detect...

Many corner detectors make use of edge detectors to extract edge points first. In this paper, we proposed a local edge detection algorithm that can be used well in corner detectors. Instead of marking edge points globally, we detect them locally based on both gradient magnitude threshold and gray level analysis. The process is dynamic and can provide correct edge points for detecting corners. T...