Times of Oman 1 of 2 http://www.timesofoman.com/innercat.asp?detail=1298 LOGIN OR REGISTER | RSS FEEDS | QUIZ 2011 | E-PAPER | ADVERTISE | MOBILE SERVICES | Search HOME timesofoman.com Sunday March 18, 2012 Go LATEST NEWS Oman SQU research scientist wins global award International Times News Service Tue Mar 13 2012 07:11:54 GMT+0400 (Arabian Standard Time) Oman Time Business Sports Thursday Technology Features Snapshots Muscat: For his research work in 3D visualisation of buildings from airborne Light Detection and Ranging (LIDAR) data, Dr. B. Babu Madhavan, a research scientist at the Remote Sensing & GIS Centre of Sultan Qaboos University, has won Geospatial World Innovation Award 2012. The award will be presented to Dr Madhavan during the Geospatial World Forum 2012 to be SERVICES held in Amsterdam, The Netherlands from April 23-27. Mobile Services SND Awards Blackberry Discuss Classifieds City Guide Prayer Timings Weather Horoscope Movies Flight Schedule The research work which earned Dr Madhavan this prestigious award was titled 'A computer vision based approach for 3D building modelling of airborne laser scanner DSM data'. SQU research scientist wins global award The project was researched from 2000 to 2002 Email the story Print the story while he was working in Japan. It was initiated RSS feed at Softopia Japan (http://www.softopia.or.jp/en/) a government IT organisation. The Softopia Japan Area is made up of venture business as well as large scale businesses that lead IT industry. Subsequently, his previous employer PASCO Corporation-Japan supported Dr. Madhavan's VPN Proxy - Free Trial! further the research till 2010. eGreetings OPINION Viewpoint Columns MEMBERS Your Profile Newsletter NEWSPAPER The research involved development of a computer vision based method for 3D building modelling by using stable planar regions extracted from low-spatial-resolution airborne laser scanner (ALS) data. It suggested less operator interaction (interactive processing) and an algorithm that automatically generates building parameters from digital surface models (DSM). The stable planar region extraction approach proposed for general range data was applied to low-spatialresolution ALS data that were resampled by a non-linear re-sampling method for spatial resolution enhancement. UK, US & Germany SSTP/PPTP/L2TP VPN Services, Fast & Stable! www.vpngates.com Place t he code f or your plugin wher ever you want t he plugin t o appear on your page. Advertising Subscription OTHER LINKS About Us Contact Us Feedback Archives Like Send 481 people like this. Be the first of your friends. After stable planar region extraction, the roof edges formed by adjoining planes were computed by using the topologic relations and geometries of the extracted planar regions. Finally, a polyhedral description of the data was derived using the geometries of the stable planar regions, line segments of jump and/or boundary edges, and roof edges. According to Dr. Madhavan, this method was robust against noise in the DSM data. “By using this method, development of 3D building models directly from high-resolution satellite images and aerial images in association with LIDAR data can be achieved. Three dimension models of a city have variety of applications such as infrastructure development, disaster management and helpful for several environmental simulation studies”, he said. Dr. Babu Madhavan acknowledged the guidance and support of Prof. Kazuhiko Yamamoto, Dept. of Information Science, Gifu University, Mr. Y. Niwa Project Director, Softopia Japan and Dr. Sasakawa, Director-PASCO, in carrying out this project. “I also would like to thank my co-researchers, Dr. Caihua Wang, Fujifilm-Japan and Dr. Tanahashi, Gifu IT department for their support”, he said. The research came out with an international paper and one patent for that as well. vulputate. (Follow timesofoman.com on Facebook and on Twitter for updates that you can share with your friends.) 3/18/2012 11:07 AM