Image feature detection is a fundamental issue in computer vision. SIFT[1] and SURF[2] are very effective in scale-space feature detection, but their stabilities are not good enou...
This paper deals with a new interest points detector. Unlike most standard detectors which concentrate on the local shape of the signal, the main objective of this new operator is...
Abstract Where feature points are used in real-time frame-rate applications, a high-speed feature detector is necessary. Feature detectors such as SIFT (DoG), Harris and SUSAN are ...
This paper presents a new method for tracking feature points on the textureless surface of a moving object. We employ a local image basis as a descriptor of each point for dealing...
Interest point detection is an established method to select relevent image regions. Such techniques use features like corners or edges, which are known to indicate regions likely ...