BRISK: Binary Robust Invariant Scalable Keypoints
2015-06-16Marcin Dymczyk was awarded with the ETH Medal for his Master Thesis
2015-06-12Dr. K. Alexis: Assistant Professor in Computer Science & Engineering at the University of Nevada
2015-06-11Mina Kamel awarded the Willi-Studer Preis as best Master's Degree in RSC
2015-05-11Autonomous cars / V-Charge in print media
2015-03-18Pixelbots live in Spanish TV
2015-02-13Primary school students perform play with Robot "Igor"
2014-12-23AtlantikSolar research on Meteorological Path Planning(MeteoSwiss and ETHZ cooperation) wins two prizes
2014-10-24Today in 20min: "Rettungsroboter nach dem Vorbild der Natur"
2014-09-22Today: Public Defense S. Leutenegger & J. Maye at the bqm
2014-08-27K. Alexis won 2014 Premium Award for Best Paper in Control Theory & Applications
2014-08-24The SEPIOS Robot developed in our Focusproject won the NI Global Student Design Showcase 2014 in Austin Texas
2014-08-20"Best Robot Video" at the AAAI Video Competition for M. Hutter, M. Hoepflinger, C. Gehring, M. Bloesch, M. Kolbe, R. Siegwart
2014-08-12“Success Stories” on the SPARC - The Partnership for Robotics in Europe - website. Check them out!
2014-06-30The paper from G. Darivianakis, K. Alexis, M. Burri and R. Siegwart on "Hybrid Predictive Control for Aerial Robotic Physical Interaction towards Inspection Operations" finalisted for the Best Automation Paper Award on ICRA 2014, Hong Kong.
2014-06-13StarlETH andVelociRoACH featured in IEEE Spectruma
2014-05-30MasterAwards for M. Bürki, J. Hwangbo and R. Khanna
2014-05-20ASL sends two focus teams to the rollout presentation on 27th May
2014-03-11J. Alonso-Mora, R. Siegwart, P. Beardsley win Best Video Award (2nd Price) in the 9th ACM/IEEE Int. Conf. in Human-Robot Interaction (HRI 2014)!
2014-01-27Marco Hutter wins ETH Medal for his Doctoral Thesis "StarlETH & Co. - Design and Control of Legged Robotics with Compliant Actuation"
2014-01-24Davide Scaramuzza - UniZH - formerly at ASL won IEEE RAS (Robotics and Automation Society) Early Career Award
2014-01-23Roland Siegwart - ETH Zurich, Switzerland IEEE won Inaba Technical Award for Innovation Leading to Production
2013-11-07F. Colas, F. Pomerleau, M. Liu et al. won Best RoboCup paper award at IROS
2013-09-26Dr. Margarita Chli appointed Chancellor's Fellow and Lecturer at School of Informatics of the University of Edinburgh
2013-09-25Michael Neunert received Johann Puch Innovation Award 2012 for Master Thesis
2013-08-29Dr. M. Liu and Prof. R. Siegwart won the "Best Paper in Information" at ICIA 2013!
2013-08-15Dr. Ming Liu appointed Assistant Professor at the The Hong Kong University of Science and Technology
2013-06-04Talk @ ASL, Dr. N. Nourani-Vatani, "Vision for underwater vehicles", 13.06.2013 at 11:15
2013-05-11Nomination for IEEE/IFR Invention and Entrepreneurship Award
2013-05-09Nomination for the BestVision Paper Award at ICRA 2013
2013-04-11The best innovations at ETH 2013 - SPARK Award
2013-03-19Legged robotic team wins best hardware presentation award!
2013-02-14Radio interview with Prof. R. Siegwart
2013-02-12Ming Liu wins Winning Prize for the seventh Chunhui CupPioneering Competition for Overseas Chinese Scholars (2012)
2013-01-31Ming Liu has been invited for 11 universities in China for academic seminars
Effective and efficient generation of keypoints from an image is a well-studied problem in the literature and forms the basis of numerous Computer Vision applications. Established leaders in the field are the SIFT and SURF algorithms which exhibit great performance under a variety of image transformations, with SURF in particular considered as the most computationally efficient amongst the high-performance methods to date.
We propose BRISK, a novel method for keypoint detection, description and matching. A comprehensive evaluation on benchmark datasets reveals BRISK's adaptive, high quality performance as in state-of-the-art algorithms, albeit at a dramatically lower computational cost (an order of magnitude faster than SURF in cases). The key to speed lies in the application of a novel scale-space FAST-based detector in combination with the assembly of a bit-string descriptor from intensity comparisons retrieved by dedicated sampling of each keypoint neighborhood.
Watch BRISK in action.
ICCV 2011 Paper
Stefan Leutenegger, Margarita Chli and Roland Siegwart, BRISK: Binary Robust Invariant Scalable Keypoints, to appear in Proceedings of the IEEE International Conference on Computer Vision (ICCV) 2011.
Open-source package containing windows and linux libraries, a demo application, and a Matlab mex interface:
download brisk.zip (16 MB)
(v0.1 December 10th 2011)
Provided under the terms and conditions of the BSD license.
Please contact email@example.com, if you have related questions or suggestions.