Corner detection has been shown to be very useful in many computer vision applications.
Some valid approaches have been proposed, but few of them are accurate, efficient and …

Corners in images represent a lot of important information. Extracting corners accurately is
significant to image processing, which can reduce much of the calculations. In this paper …

This paper describes an efficient method for image edge and corner detection. Edges are
detected before extracting corner points so that the background or noise of the image can be …

This paper describes a new corner detection algorithm, based on the property of corners that
the change of image intensity should be high in all directions. Consequently, the corner …

In computer vision applications, corners are often regarded as desirable features due to their
simplicity and low coordination requirements. Traditional intensity-based algorithms identify …

According to the FAST corner detection algorithm applies only on a single type of corner and
a single threshold is not suitable to the whole image, an adaptive FAST corner detection …

In this paper, we present an overview of various corner detection approaches that have
been proposed in the last four decades. Corner detection algorithms can be broadly divided …

In this article, the authors propose a concise corner detection algorithm, which is called
CCDA. A cascade classifier concept is used to derive a corner detector, which can quickly …

Corner detection has been shown to be extremely useful in many computer vision
applications. In this paper, an improved SUSAN corner detector is proposed and its …

The corners are important features in images that are frequently used for scene analysis,
image matching and object tracking. In this paper, a new corner detector is presented that is …