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Richard Radke
Assistant Professor


Department Affiliation:
Department of Electrical, Computer, & Systems Engineering

Ph.D., Princeton University, Electrical Engineering
M.A., Princeton University, Electrical Engineering
M.A., Rice University, Computational and Applied Mathematics
B.A., Rice University, Mathematics, Computational and Applied Mathematics (dual)

Research Areas:

  • Distributed, active processing on hundred-camera networks
  • 3D Modeling and tracking from distributed mobile sensors
  • Computer vision, machine learning, and optimization for intensity-modulated radiotherapy
  • Change detection and understanding in image and video sequences
  • Magnetic field mapping via heavy ion beam spectral imaging

Research Summary:

  • I am interested in computer vision problems that occur in networks of a large number (tens to hundreds) of cameras dispersed throughout an environment. We have developed distributed solutions for determining visual overlap and camera calibration in large dynamic camera networks, which provide the basis for higher-level vision problems (e.g. change detection, multi-object tracking, image-based query, or view synthesis).
  • I also collaborate on research involving 3D data representation, registration, and integration of range and visual imagery. I am particularly interested in change detection in range imagery and joint fusion of EO/LiDAR data.
  • I am also particularly interested in computer vision and machine learning problems related to intensity modulated radiotherapy (IMRT), an exciting new technology for cancer treatment. One project involves developing computer vision algorithms to aid in the automatic segmentation of organs from 3-D CT scans acquired immediately prior to radiation treatment. A second project investigates the relationship between a patient's body/organ geometry and the multiple radiation beams that are used to treat their cancer. We have investigated both the breast and prostate. These projects include collaborations with medical physicists at Memorial Sloan-Kettering Cancer Center and Massachusetts General Hospital. 


  • A. Cheriyadat and R.J. Radke, Automatically Determining Dominant Motions in Crowded Scenes by Clustering Partial Feature Trajectories. Proceedings of the First ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC-07), September 2007.
  • Y. Jeong and R.J. Radke, Reslicing Axially-Sampled 3D Shapes Using Elliptic Fourier Descriptors. Elsevier Medical Image Analysis, Vol. 11, No. 2, pp. 197-206, April 2007.
  • R. Lu, R.J. Radke, L. Happersett, C.-S. Chui, J. Xiong, E. Yorke, and A. Jackson, Reduced-Order Optimization for Simplifying Prostate IMRT Planning, Physics in Medicine and Biology, Vol. 52, No. 3, pp. 849-870, February 7, 2007.
  • Dhanya Devarajan and Richard J. Radke, Calibrating Distributed Camera Networks Using Belief Propagation. EURASIP Journal on Advances in Signal Processing: Special Issue on Visual Sensor Networks, Volume 2007, Article ID 60696.
  • Zhaolin Cheng, Dhanya Devarajan, and Richard J. Radke, Determining Vision Graphs for Distributed Camera Networks Using Feature Digests. EURASIP Journal on Advances in Signal Processing: Special Issue on Visual Sensor Networks, Volume 2007, Article ID 57034.

Honors and Awards:

  • Career Award, National Science Foundation, 2003
  • Member, 2007 DARPA Computer Science Study Panel (12 PIs selected nationwide).
  • Elevated to Senior Member of the IEEE, August 2006.


  • Senior Member of the IEEE, August 2006.
  • Area Chair, IEEE Computer Vision and Pattern Recognition 2008
  • Program Committee, International Conference on Distributed Smart Cameras (ICDSC) 2007, IEEE Pacific-Rim Symposium on Image and Video Technology (PSIVT '06), IEEE Computer Vision and Pattern Recognition (CVPR) 2005-2007, European Conference on Computer Vision (ECCV) 2006, IEEE International Conference on Computer Vision (ICCV) 2005, 2007, Workshop on Omnidirectional Vision, Camera Networks, and Non-Classical Cameras (OMNIVIS) 2005.

Contact Information:
Richard Radke
Jonsson Engineering Center – Room 7006
Rensselaer Polytechnic Institute
110 8th Street
Troy, N.Y. 12180 USA
Phone: (518) 276-6483
Fax: (518) 276-8715



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