If a physical object has a smooth or piecewise smooth boundary, its images obtained by
cameras in varying positions undergo smooth apparent deformations. These deformations …

This book introduces a new theory in Computer Vision yielding elementary techniques to
analyze digital images. These techniques are a mathematical formalization of the Gestalt …

Robust covariant local feature detectors are important for detecting local features that are (1)
discriminative of the image content and (2) can be repeatably detected at consistent …

This paper presents a new content-based retrieval framework applied to logo retrieval in
large natural image collections. The first contribution is a new challenging dataset, called …

A fully affine invariant image comparison method, Affine-SIFT (ASIFT) is introduced. While
SIFT is fully invariant with respect to only four parameters namely zoom, rotation and …

Accurate junction detection and characterization are of primary importance for several
aspects of scene analysis, including depth recovery and motion analysis. In this work, we …

Taking photographs under low light conditions with a hand-held camera is problematic. A
long exposure time can cause motion blur due to the camera shaking and a short exposure …

This paper focuses on the matching of local features between images. Given a set of query
descriptors and a database of candidate descriptors, the goal is to decide which ones …

Specialists in image analysis and computer vision find the text easy on the computer vision
side and affordable on the mathematical level. The mathematics students easily learn …

This note is devoted to a mathematical exploration of whether Lowe's Scale-Invariant
Feature Transform (SIFT)[21], a very successful image matching method, is similarity …