The computer vision system is the technology that deals with identifying and detecting the
objects of a particular class in digital images and videos. Local feature detection and …

The repeatability and efficiency of a corner detector determines how likely it is to be useful in
a real-world application. The repeatability is important because the same scene viewed from …

Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled
Machine Vision) clearly and systematically presents the basic methodology of computer and …

In this survey, we give an overview of invariant interest point detectors, how they evolved
over time, how they work, and what their respective strengths and weaknesses are. We …

Purpose In the past few decades, the content-based image retrieval (CBIR), which focuses
on the exploration of image feature extraction methods, has been widely investigated. The …

This paper proposes a curvature-based corner detector that detects both fine and coarse
features accurately at low computational cost. First, it extracts contours from a Canny edge …

Normal estimation in point clouds is a crucial first step for numerous algorithms, from surface
reconstruction and scene understanding to rendering. A recurrent issue when estimating …

The problem of detecting rectangular structures in images arises in many applications, from
building extraction in aerial images to particle detection in cryo-electron microscopy. This …

Power line inspection from a helicopter using video surveillance techniques demands that
the camera be automatically pointed at the object of interest, in order to compensate for the …

This work presents a new method for detecting shape corner points. These points are
characterized as having high curvature value and their detection is an important task in …