Apl. Prof. Dr.-Ing. Reimar Lenz

Academic Career and Research Areas

The research topic of Prof. Lenz (*1956) is digital image acquisition and processing. He is designing cooled digital cameras for microscopy with low noise and for long exposure times. In image processing his main interest lies in the reconstruction of color images from incomplete data. Furthermore he is involved in Videometry, i.e. the measuring technology with video images.

Prof. Lenz studied at the Technical University of Stuttgart for his Vordiplom and made his diploma at the TU Munich in 1980. He was then assistant at the Chair for Information Technology (LNT), where he received the PhD in 1986. He then researched as a postdoc for one year at the IBM T. J. Watson Research Center in Yorktown Heights on the field of camera/robot calibration. In 1989 he made his habilitation at the LNT in the field of videometry and image processing. In 2003 he received the title "Außerplanmäßiger Professor". Since 2000 he is CEO of his company CCD Videometrie GmbH, which is designing and manufacturing high reolution digital cameras.

Awards

  • Technical Oscar (Academy Scientific & Engineering Award) (2010)
  • Heinz Maier-Leibnitz medal of the TU Munich (2010)
  • Research award of the DAGM (German working group for pattern recognititon) for working on high resolution color cameras (1990)
  • Dr. Ing. Siegfried Werth research award (1990)

R. Lenz et al.: “A microscan/macroscan 3x12 bit digital color CCD camera with programmable resolution up to 20,992 x 20,480 picture elements”. Proc. of the Commission V Symposium "Close Range Techniques and Machine Vision", Melbourne, Austr., 1-4 March 1994, Intl. archives of Photogrammetry and Remote Sensing, Vol. 30, Part 5, ISSN 0256-1840, pp. 225-230.

R. Lenz, D. Fritsch: “Accuracy of Videometry with CCD sensors”. ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier Science Publishers B.V., Amsterdam. 1990; 45: pp. 90-110.

Abstract

R. Lenz, R. Tsai: “Calibrating a cartesian robot with eye-on-hand configuration independent of eye-to-hand relationship”. IEEE Trans. Pattern Analysis and Machine Intelligence. 1989; Vol. 11, No. 9: pp. 916-928.

Abstract

R. Lenz: “Ein Verfahren zur Schätzung geometrischer Bildtransformationen”. Dissertation an der Fakultät für Elektrotechnik der TU München, Januar 1986.

R. Lenz: “Estimation of general 2-D motion parameters in TV-scenes”. Proc. of the 7th Inf. Conf. on Pattern Recognition: M. Wein. Silver Spring: IEEE Comp. Soc. Pr.. 1984; pp. 546-549.