Photoshop Has Gone Too Far

VISION-CONTROLLED MICRO FLYING ROBOTS: FROM SYSTEM DESIGN TO AUTONOMOUS NAVIGATION AND MAPPING IN GPS-DENIED ENVIRONMENTS

Great News: Our paper “VISION-CONTROLLED MICRO FLYING ROBOTS: FROM SYSTEM DESIGN TO AUTONOMOUS NAVIGATION AND MAPPING IN GPS-DENIED ENVIRONMENTS” has just been accepted at IEEE Robotics and Automation Magazine.

To the best of our knowledge, this paper describes the first, working visual-inertial system of multiple MAVs in real-world scenarios able to autonomously navigate while collaboratively building a rich 3D map of the environment and performing optimal surveillance coverage. It is believed that the presented system constitutes a milestone for vision based MAV navigation in large, unknown, and GPS-denied environments, providing a reliable basis for further research towards complete missions of search-and-rescue or inspection scenarios with multiple MAVs.

D. Scaramuzza, M.C. Achtelik, L. Doitsidis, F. Fraundorfer, E.B. Kosmatopoulos, A. Martinelli, M.W. Achtelik, M. Chli, S. A. Chatzichristofis, L. Kneip, D. Gurdan, L. Heng, G.H. Lee, S. Lynen, L. Meier, M. Pollefeys, A. Renzaglia, Roland Siegwart, J.C. Stumpf, P. Tanskanen, C. Troiani and S. Weiss, “VISION-CONTROLLED MICRO FLYING ROBOTS: FROM SYSTEM DESIGN TO AUTONOMOUS NAVIGATION AND MAPPING IN GPS-DENIED ENVIRONMENTS”, «IEEE Robotics and Automation Magazine»

Image Retrieval in Remote Sensing

CBMI 2014 - Special Session:

The proliferation of earth observation satellites, together with their continuously increasing performances, provides today a massive amount of geospatial data. Analysis and exploration of such data leads to various applications, from agricultural monitoring to crisis management and global security.

However, they also raise very challenging problems, e.g. dealing with extremely large and real time geospatial data, or user-friendly querying and retrieval satellite images or mosaics. The purpose of this special session is to address these challenges, and to allow researchers from multimedia retrieval and remote sensing to meet and share their experiences in order to build the remote sensing retrieval systems of tomorrow.

Topics of interest

• Content- and context-based indexing, search and retrieval of RS data
• Search and browsing on RS Web repositories to face the Peta/Zettabyte scale
• Advanced descriptors and similarity metrics dedicated to RS data
• Usage of knowledge and semantic information for retrieval in RS
• Maching learning for image retrieval in remote sensing
• Query models, paradigms, and languages dedicated to RS
• Multimodal / multi-obsevations (sensors, dates, resolutions) analysis of RS data
• HCI issues in RS retrieval and browsing
• Evaluation of RS retrieval systems
• High performance indexing algorithms for RS data
• Summarization and visualization of very large satellite image datasets
• Applications of image retrieval in remote sensing

Many public datasets are available to researchers and can be used to evaluate the contributions related to image retrieval in remote sensing. The UC Merced Land Use Dataset is of particular interest in this context, with 2100 RGB images, 21 classes (http://vision.ucmerced.edu/datasets/landuse.html).

Important dates

• Submission deadline: April, 7th
• Notification to authors: May, 12th
• Camera-ready deadline: May, 20th

Contact

For more information please contact the special session chairs Sébastien Lefèvre (sebastien.lefevre <at> irisa.fr) and Philippe-Henri Gosselin (gosselin <at> ensea.fr)

http://cbmi2014.itec.aau.at/image-retrieval-in-remote-sensing/

Practical Image & Video Processing Using MATLAB

The Chinese version of the textbook "Practical Image & Video Processing Using MATLAB" (Tsinghua Univ Press) is now available

http://www.tup.tsinghua.edu.cn/book/list_cs.asp?csbh=10

12th International Content Based Multimedia Indexing Workshop - Demo submission

Authors are invited to submit demo papers of 4 pages maximum. All peer-reviewed, accepted and registered papers will be published in the CBMI 2014 workshop proceedings  to be indexed and distributed by the IEEE Xplore. The demos will be presented at CBMI in a demo session. The submissions are peer reviewed in single blind process, the language of the workshop is English.

Important dates:

• Demo paper submission deadline: March 7, 2014
• Notification of acceptance: March 30, 2014
• Camera-ready papers due: April 14, 2014
• Author registration: April 14, 2014
• Early registration: May 25, 2014

Chair & Contact

For more information please visit http://cbmi2014.itec.aau.at/ and for additional questions, remarks, or clarifications please contact the demo chair László Czúni (email: czuni AT almos DOT vein DOT hu) or cbmi2014@itec.aau.at

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