Graphics enhanced version of this site

Human Identification at a Distance (HumanID)
Head: Takeo Kanade
Contact: Takeo Kanade (tk@cs.cmu.edu)

Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213

Lab Location: EDSH 101
Lab Telephone: (412) 268 3127

Associated center: VASC

This page last updated - January 1999.

We, in collaboration with the CMRI Electro-Optics Technology Group, are developing and evaluating human identification technologies as part of the Defense Advanced Research Projects Agency (DARPA) sponsored program in Human Identification at a Distance (HumanID). Our efforts can be roughly divided into the following categories:

Static and Dynamic Body Biometrics

We are developing algorithms for the use of 3D space-time body biometrics for human identification. Our research focuses on two main issues: (1) the extraction of body biometric features from video and (2) identifying subjects from the extracted body biometric features.

Face Recognition From Video

We are developing face recognition algorithms that take full advantage of the additional information contained in video imagery.

Human Identification From Expression

We are investigating the extent to which facial expression impacts upon existing face recognition algorithms, and also the extent to which facial expressions and other spatio-temporal information can be used to identfy people.

Hyperspectral Imagery

We are invesitgating the information content of hyperspectral and polarimetric imagery for human identification.

Database Collection

We are collecting a number of databases to aid in the evaluation of human identification algorithms. In particular, we are collecting databases of: (1) synchronized multi-camera video sequences of body motion, (2) human faces under a wide range of imaging conditions, (3) AU coded expression videos, and (4) hyperspectal and polarimetric images of human faces.

Name - Title <Email Address>
• [Home] Jeffrey Cohn - Adjunct Faculty (Adjunct) <jeffcohn@cs.cmu.edu>
• [Home] Fernando De la Torre Frade - Research Scientist <ftorre@cs.cmu.edu>
• David Duggins - Program Manager/ARL CTA Project Manager <duggins@ri.cmu.edu>
• [Home] Ralph Gross - PhD Student, ISRI <rgross@cs.cmu.edu>
• [Home] Lie Gu - PhD Student, CS <lgu@andrew.cmu.edu>
• [Home] Takeo Kanade - U.A. and Helen Whitaker University Prof., RI/CS <tk@cs.cmu.edu>
• [Home] Tom Kang - PhD Student, CS <thkang@cs.cmu.edu>
• [Home] Yanxi Liu - Adjunct Associate Research Professor <yanxi@cs.cmu.edu>
• [Home] Iain Matthews - Senior Systems Scientist <iainm@cs.cmu.edu (Currently On Leave)>
• Henry Schneiderman - Adjunct Faculty (Adjunct) <hws@ux1.sp.cs.cmu.edu>

• 3D Head Motion Recovery in Real Time - A cylindrical model-based algorithm recovers the full motion (3D rotations and 3D translations) of the head in real time.
• Face Recognition Across Pose - Recognizing people from different poses.
• Facial Asymmetry as a Biometric - We are investigating the effect of facial asymmetry measurement statistics as a biometric under expression variations.
• Multi-view Car Detection and Registration - This method can detect cars with occlusions and varying viewpoints from a single still images by using multi-class boosting algorithm.

• Learning Patch Correspondences for Improved Viewpoint Invariant Face Recognition
  A.B. Ashraf, S. Lucey, and T. Chen
  IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June, 2008. [Abstract]
  Download: pdf [948 KB] copyrighted

• A Viewpoint Invariant, Sparsely Registered, Patch Based, Face Verifier
  S. Lucey and T. Chen
  International Journal of Computer Vision (IJCV), December, 2007. [Abstract]
  Download: pdf [734 KB] copyrighted

• Integrating Monolithic and Free-parts Representations for Improved Face Verification in the Presence of Pose Mismatch
  S. Lucey and T. Chen
  Pattern Recognition Letters, Vol. 28, No. 8, June, 2007, pp. 895 - 903. [Abstract]

• Shape Variation-based Frieze Pattern for Robust Gait Recognition
  S. Lee, Y. Liu, and R. Collins
  Proceedings of CVPR 2007, June, 2007.

• A Viewpoint Invariant, Sparsely Registered, Patch Based, Face Verifier
  S. Lucey and T. Chen
  tech. report CMU-RI-TR-07-17, Robotics Institute, Carnegie Mellon University, February, 2007. [Abstract]
  Download: pdf [1554 KB] copyrighted

• Understanding the Role of Facial Asymmetry in Human Face Identification
  S. Mitra, N. Lazar, and Y. Liu
  Statistics and Computing, Vol. 17, January, 2007, pp. 57 - 70. [Abstract]
  Download: pdf [515 KB] copyrighted

• Spectral Rounding & Image Segmentation
  D. Tolliver
  doctoral dissertation, tech. report CMU-RI-TR-06-44, Robotics Institute, Carnegie Mellon University, August, 2006. [Abstract]
  Download: pdf [6552 KB] copyrighted

• Learning patch dependencies for improved pose mismatched face verification
  S. Lucey and T. Chen
  IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June, 2006. [Abstract]
  Download: pdf [538 KB] copyrighted

• Model-Based Face De-Identification
  R. Gross, L. Sweeney, F. De la Torre Frade, and S. Baker
  2006 Conference on Computer Vision and Pattern Recognition Workshop, June, 2006, pp. 161 - 168. [Abstract]
  Download: pdf [485 KB] copyrighted

• Expression Classification using Wavelet Packet Method on Asymmetry Faces
  K. Teng and Y. Liu
  tech. report CMU-RI-TR-06-03, Robotics Institute, Carnegie Mellon University, January, 2006. [Abstract]
  Download: pdf [1125 KB] copyrighted