Philippos Mordohai

ASSOCIATE PROFESSOR
Building: North Building
Room: 209
Phone: +1 (201) 216-5611
Email: pmordoha@stevens.edu
Website
Education
Ph.D. in Electrical Engineering University of
Southern California, Los Angeles, CA (2005)

M.S. in Electrical Engineering, University of Southern
California, Los Angeles, CA (2000)

Diploma in Electrical and Computer Engineering, Aristotle
University of Thessaloniki, Greece (1998)
Research
  • Binocular, multiple-view and video-based 3D reconstruction
  • Perceptual organization
  • 3D shape representation and object recognition
  • Manifold learning
Appointments
Assistant Professor, Dept. of Computer Science, Stevens Institute of Technology, 2008-present
Selected Publications
Books
  1. P. Mordohai and G. Medioni. (2006). "Tensor Voting: A Perceptual Organization Approach to Computer Vision And Machine Learning".
Journals
  1. P. Mordohai and G. Medioni. ""Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting", Journal of Machine Learning Research", vol. 11 411-450.
  2. M. Pollefeys, D. Nistér, J.-M. Frahm, A. Akbarzadeh, P. Mordohai, B. Clipp, C. Engels, D. Gallup, S.-J. Kim, P. Merrell, C. Salmi, S. Sinha, B. Talton, L. Wang, Q. Yang, H. Stewénius, R. Yang, G. Welch, H. Towles,. (2008). " "Detailed Real-Time Urban 3D Reconstruction From Video", International Journal of Computer Vision", vol. 78 (2-3), 143-167.
Conference Proceedings
  1. A. Toshev, P. Mordohai and B. Taskar. (2010). "Detecting and Parsing Architecture at City Scale from Range Data", International Conference on Computer Vision and Pattern Recognition".
  2. X. Hu and P. Mordohai. (2010). "Evaluation of Stereo Confidence Indoors and Outdoors", International Conference on Computer Vision and Pattern Recognition".
  3. P. Mordohai. (2009). "The Self-Aware Matching Measure for Stereo", International Conference on Computer Vision".
  4. A. Patterson, P. Mordohai and K. Daniilidis. (2008). "Object Detection from Large-Scale 3D Datasets using Bottom-up and Top-down Descriptors", European Conference on Computer Vision".
Courses
  • CS 558 Computer Vision
  • CS 677 Multicore Platforms for Cognitive Gaming and Simulation
  • CS 532 3D Computer Vision