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Simon Lucey Systems Scientist Associated center: VASC Email address: slucey+@andrew.cmu.edu Office: EDSH 213 Phone: (412) 268-2889 Mailing address: Carnegie Mellon University Robotics Institute 5000 Forbes Avenue Pittsburgh, PA 15213 For more information, see my personal homepage.

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Research interests

My research interests are in pattern recognition and machine learning with specific interests in their application to biometric learning and space-time pattern recognition. I have been specifically developing state of the art face and voice verification algorithms by employing generative models and theories on generalization in pattern recognition and Bayesian adaptation. I have also been studying problems in space-time pattern recognition such as audio-visual speech processing and facial expression recognition. I am welled versed in many aspects of pattern recognition and biometrics, and am extremely interested in how developments in these areas can improve and develop our knowledge of broader problems in artificial intelligence (AI).

Research interest keywords

artificial intelligence, computer vision, and pattern recognition

Current Labs & Groups

Face Group - Robust detection, recognition, and tracking of human faces with automated analysis of expressions

Current Projects [Past projects]

Face Recognition Across Pose - Recognizing people from different poses.	Facial Expression Analysis - Automatic facial expression encoding, extraction and recognition, and expression intensity estimation for the applications of MPEG4 application: teleconferencing, human-computer interaction/interface.
Generic Active Appearance Models - We are pursuing techniques for non-rigid face alignment based on Constrained Local Models (CLMs) that exhibit superior generic performance over conventional AAMs.

Recent publications [View all 17 publications]

• Enforcing Convexity for Improved Alignment with Constrained Local Models
  Y. Wang, S. Lucey, and J. Cohn
  IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June, 2008. [Abstract]
  Download: pdf [652 KB] copyrighted

• Enforcing Non-Positive Weights for Stable Support Vector Tracking
  S. Lucey
  IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June, 2008. [Abstract]
  Download: pdf [1470 KB] copyrighted

• 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

• Least Squares Congealing for Unsupervised Alignment of Images
  M. Cox, S. Lucey, S. Sridharan, and J. Cohn
  IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June, 2008. [Abstract]
  Download: pdf [475 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

• Non-Rigid Object Alignment with a Mismatch Template Based on Exhaustive Local Search
  Y. Wang, S. Lucey, and J. Cohn
  IEEE Workshop on Non-rigid Registration and Tracking through Learning - NRTL 2007, October, 2007. [Abstract]
  Download: pdf [1845 KB], ps.gz [3043 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]

• Investigating Spontaneous Facial Action Recognition through AAM Representations of the Face
  S. Lucey, A.B. Ashraf, and J. Cohn
  Face Recognition Book, K. Kurihara, ed., Pro Literatur Verlag, Mammendorf, Germany, April, 2007. [Abstract]
  Download: pdf [1256 KB] copyrighted

• 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

• The painful face: Pain expression recognition using active appearance models
  A.B. Ashraf, S. Lucey, T. Chen, K. Prkachin, P. Solomon, Z. Ambadar, and J. Cohn
  Proceedings of the ACM International Conference on Multimodal Interfaces (ICMI'07), 2007, pp. 9 - 14.