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MolnÁr Bence

Assistant Professor
Department of Photogrammetry and Geoinformatics
Budapest University of Technology and Economics
Hungary

Biography

"Dr. MOLNÁR BENCE is affiliated to Department of Photogrammetry and Geoinformatics, Budapest University of Technology and Economics. Dr. MOLNÁR BENCE is currently providing services as Assistant Professor. Dr. MOLNÁR BENCE has published numerous publications in various national and international peer-reviewed journals and presented scientific papers across the world. Because of the active association with different societies and academies as well as the contributions, Dr. MOLNÁR BENCE is been recognized by the subject experts around the world. Dr. MOLNÁR BENCE contributions are appreciated by various reputed awards. Dr. MOLNÁR BENCE clinical and scientific research interests include Preparatory measurements of facial reconstruction works using photogrammetry and laser scanner. Examination of medical imaging procedures. Engineering geodesy, deformation tests. Development of Web-based applications for engineering purposes. Web-based photogrammetric application: http://dlt.fmt.bme.hu Positioning, mapping and modeling using MS Kinect. Data Acquisition and Spot Cloud Processing with Laser Scanner.."

Research Interest

"Preparatory measurements of facial reconstruction works using photogrammetry and laser scanner. Examination of medical imaging procedures. Engineering geodesy, deformation tests. Development of Web-based applications for engineering purposes. Web-based photogrammetric application: http://dlt.fmt.bme.hu Positioning, mapping and modeling using MS Kinect. Data Acquisition and Spot Cloud Processing with Laser Scanner."

Publications

  • Toth KC, Molnar B, Zaydak A, Grejner-Brzezinska D. Calibrating the MS kinect sensor. InASPRS 2012 Annual Conference, Sacramento, USA 2012 Mar 19.

  • Molnar B, Laky S, Toth C. Using full waveform data in urban areas. International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences. 2011 Mar 22;38(3/W22):203-8.

  • Molnár B, Toth CK, Detrekoi A. Accuracy test of Microsoft Kinect for human morphologic measurements. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2012 Aug 3;3:543-7.

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