A novel model for the determination of precise region of support of a point useful for corner
detection is proposed in this paper. The proposed model, unlike other existing models is non …

Corner extraction is an important task in many computer vision systems. The quality of the
corners and the efficiency of the detection method are two very important aspects that can …

Corners are prominent structural elements in an image and are therefore useful in a wide
variety of applications, including following objects across related images (tracking) …

Harris corner detector though detects corners with some precision, posesses drawbacks like
smoothing out of weak corners and degraded localization accuracy. In this paper, we …

In areas like pattern recognition, motion analysis, outline capturing, reconstruction of objects
etc., the corners of an object play a very vital role as features for shape representation and …

An efficient algorithm for corner detection is proposed in this paper. It utilizes the concept
that the directions of the forward and backward vectors of a non-corner point will cancel …

Geometry-based corner detection is a widely used approach relying on the measurement of
the differential geometric features of corner points [1]. This approach is followed in both local …

Interest points are widely used in computer vision applications such as camera calibration,
robot localization and object tracking that require fast and efficient feature matching. A large …

The well-known Harris algorithm for corner detection in digital images suffers from poor
localisation especially in high (≥ 3) order corners. In this reported work, the Harris algorithm …

In order to accurately extract corners from the image with high texture complexity, the paper
analyzed the traditional corner detection algorithm based on gray value of image. Although …