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ETH Zurich - Department of Information Technology and Electrical Engineering - Computer Vision Laboratory

Software

Find below a selection of software maintained by our lab

SURF Feature Detector

SURF: Speeded Up Robust Features" is a performant scale- and rotation-invariant interest point detector and descriptor.

It approximates or even outperforms previously proposed schemes with respect to repeatability, distinctiveness, and robustness, yet can be computed and compared much faster.

Libraries for Linux and Windows are available for download below.

Noncommercial. You may not use this work for commercial purposes. For any reuse or distribution, you must make clear to others the license terms of this work. Any of these conditions can be waived if you get written permission from the copyright holder.

k Adjacent Segments detector

Linux executable of the kAS local features detector. kAS are small groups of connected contour segments, forming paths through the Contour Segment Network of the image. Since each kAS has a well defined location, scale, and a descriptor invariant to translation and scale transformations, these features can be easily used for recognition and image matching.

The related research has been done largely at INRIA Grenoble.

Related publication: V.Ferrari, L.Fevrier, F.Jurie and C.Schmid, Groups of Adjacent Contour Segments for Object Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), January 2008.

Camera Calibration and Hand to Eye Calibration (Hand-Eye Calibration) Toolbox

New grid detector and Hand-Eye Calibration for the Matlab Calibration Toolbox.