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 …

Many different low-level feature detectors exist and it is widely agreed that the evaluation of
detectors is important. In this paper we introduce two evaluation criteria for interest points' …

To master the fundamentals of image registration, there is no more comprehensive source
than 2-D and 3-D Image Registration. In addition to delving into the relevant theories of …

Landmarks are preferred image features for a variety of computer vision tasks such as image
mensuration, registration, camera calibration, motion analysis, 3D scene reconstruction, and …

This correspondence investigates projective reconstruction of geometric configurations seen
in two or more perspective views, and the computation of projective invariants of these …

Above we have seen a number of different approaches to forming functions invariant to
affine image transformations: moment invariants, moment-based normalization, Fourier …

Emulating human vision, computer vision systems aim to recognize object shape from
images. The main difficulty in recognizing objects from images is that the shape depends on …

This paper presents the first performance evaluation of interest points on scalar volumetric
data. Such data encodes 3D shape, a fundamental property of objects. The use of another …

A method for registering and mosaicking multicamera images is described. Registration is
achieved using control points and projective transformation, paying special attention to …

Point-based registration of images strongly depends on the extraction of suitable landmarks.
Recently, different 3D operators have been proposed in the literature for the detection of …