philippos
Philippos Mordohai
Postdoctoral Researcher
Department of Computer and Information Science
University of Pennsylvania

Office: Levine Hall 465
Phone Number: +1 215 746 3161
E-mail: mordohai@seas.upenn.edu




Home

Research

Publications

Teaching

Service, Awards and
Other Activities


CV (pdf)

EDUCATION
  • Ph.D. in Electrical Engineering with a minor in Finance and Business Economics at the University of Southern California (GPA 3.95)
  • Master of Science in Electrical Engineering at the University of Southern California. (GPA 3.92)
  • Diploma in Electrical and Computer Engineering at the Aristotle University of Thessaloniki, Greece. (GPA 8.14/10)

RESEARCH
I recently started as a postdoctoral researcher in the GRASP laboratory of the University of Pennsylvania. I work with Kostas Daniilidis, Jianbo Shi and Ben Taskar on the analysis of large scale 3D datasets of urban environments captured by LIDAR range scanners. Our research focuses on the detection and extraction of objects from a wide variety of classes ranging from road signs to power plants. I am also involved in smaller projects related to 3D shape representation, object recongition and 3D reconstruction.

Between September 2005 and July 2007, I was a postdoctoral researcher at the Computer Science Department at the University of North Carolina, at Chapel Hill. I worked with Marc Pollefeys mainly on 3D reconstruction from video sequences, as well as several other projects related to 3D reconstruction. Almost all of them have been published by now. See the Research page for more details.

I got a Ph.D. at the Institute for Robotics and Intelligent Systems at the University of Southern California. My research focused on the development of a perceptual organization approach for computational stereo vision and machine learning under the guidance of Gérard Medioni.

The research areas I am most interested in are:
  • Binocular, multiple-view and video-based 3D reconstruction
  • Perceptual organization
  • 3D shape representation and object recognition
  • Machine learning

NEWS
The slides for the short course entitled "Tensor Voting: A Perceptual Organization Approach to Computer Vision and Machine Learning" that I gave during CVPR 2007 are available here in ppt and pdf form. References to related work can also be downloaded as ppt and pdf.

Our demo: "Real-Time Video-Based Reconstruction of Urban Environments" by J.-M. Frahm, A. Akbarzadeh, P. Mordohai, B. Clipp, C. Engels, D. Gallup, P. Merrell, C. Salmi, S. Sinha, B. Talton, L. Wang, Q. Yang, H. Stewénius, H. Towles, G. Welch, R. Yang, D. Nistér and M. Pollefeys, won the Best Demo Award during CVPR 2007. The demo was based on our work for the UrbanScape project which was a collaboration between UNC and the University of Kentucky.

A paper that describes UrbanScape in detail was accepted by IJCV and has already been published online. See the Publications page for more information.

3DPVT 2006
I was the chair of local organization of the Third International Symposium on 3D Data Processing, Visualization and Transmission which was held in Chapel Hill between the 14th and 16th of June 2006. The symposium included 28 refereed oral presentations, 109 refereed posters, 6 keynote presentations by distinguished representatives from both academia and the industry and was attended by approximately 230 people.

FACE MODEL
I spent a few years demonstrating and evaluating 3D face reconstruction and recognition using technology developed by Geometrix, Inc.


For a 3-D model of my face using these two pictures click on the pictures or here. This model was created with the Facevision 200 Series system.