Dimitris SamarasAssistant Professor, Director Image
Analysis Lab, |
|
|
· Ph.D. in Computer Science, January 2001.University of Pennsylvania, (My old webpage)
· M.S in Computer Science, June 1994. Northeastern University.
· Diploma in Computer Engineering and Informatics, June 1992. University of Patras, Greece.
· Available Projects for CSE523/524 UPDATED Jan 2005
· Ongoing: CSE656 Seminar in Computer Vision (graduate)
· Fall 2005: CSE 378/525 Introduction to Robotics (undergraduate/graduate)
· Spring 2002-5: CSE527 Introduction to Computer Vision (graduate)
· Fall 2004: CSE 601/ESE559 (with G Gindi and J Liang) Advanced Image Processing (graduate)
· Fall 2004: CSE 592 Introduction to Robotics (graduate)
· Fall 2004: CSE 681 (with T Pavlidis) Topics in Computer Vision (graduate)
· Fall 2003: CSE 615 Advanced Image Analysis (graduate)
· Fall 2001-3: CSE 390 Introduction to Visual Computing (undergraduate)
· Spring 2001: CSE527/627 Introduction to Computer Vision (graduate)
· Fall 2000: ESE 358/CSE 327 Computer Vision (undergraduate)
Computer vision, computer graphics, machine learning, medical imaging, animation and simulation, image based rendering, physics-based modeling.
My
research up to now has focused on explaining visual data for Computer Vision,
Computer Graphics and Medical Image Analysis, through the appropriate physical
and statistical models. A central interest is in modeling the interaction of 3D
shape and illumination, (a major source of variability in images) for
applications such as shape and motion estimation, object recognition and
augmented reality. Further interest in 3D shape deformation is fueled by the
availability of image and range data that allows statistical modeling of
non-rigid motion. The construction of such statistical models leads to the
problem of accurate matching of 3D data. A natural application area for all the
above questions is the field of human modeling and especially faces. We have
been focusing on topics such as facial appearance under variable illumination
and facial expression modeling for biometrics and human computer interaction.
My general interest in human modeling has led to exciting collaborations with
psychologists who collect visual data about human behavior through multiple
modalities such as eye-trackers and fMRI bran imaging. Thus based on recent
neuropsychological findings we are exploring the application of machine
learning techniques to
the analysis of brain images. Current
sources of funding include NSF, NIH (NIDA), DoE and DoJ
Selected Projects
|
Facial Modeling & Analysis |
|
Illumination
Modeling |
|
·
Face Recognition from A Single Training Image
under Arbitrary Unknown Lighting using Spherical Harmonics,
Lei Zhang, Dimitris Samaras, In IEEE
Trans on Pattern Analysis and Machine Intelligence (to appear)
·
Integration of
Deformable Contours and a Multiple Hypotheses isher
Color Model for Robust Tracking in Varying Illuminant Environments,
Francesc Moreno-Noguer,
Alberto Sanfeliu, Dimitris Samaras In Image and Vision Computing (to appear)
·
A Computational Model of Eye Movements during
Object Class Detection,
Wei Zhang, Dimitris Samaras, Hyejin
Yang, Greg Zelinsky. In NIPS, 2005 (to
appear).
·
The Role of Top-down and Bottom-up Processes in
Guiding Eye Movements during Visual Search,
Greg Zelinsky, Wei Zhang,
Bing Yu, Xin Chen, Dimitris Samaras, In NIPS,
2005 (to appear).
·
Modeling Neuronal Interactivity using Dynamic
Bayesian Networks,
Lei Zhang, Dimitris Samaras, Nelly Alia-Klein, Nora
Volkow, Rita Goldstein, In NIPS 2005 (to appear).
·
Exploiting
Temporal Information in Functional Magnetic Resonance Imaging Brain Data,
Lei Zhang, Dimitris
Samaras, Nelly Klein, Dardo Tomasi, Lisa Cottone, Andreana Leskovjan, Nora Volkow,
Rita Goldstein, In Proc MICCAI 2005, pp. 679-687.
·
High
Resolution Tracking of Non-Rigid 3D Motion of Densely Sampled Data Using
Harmonic Maps,
Yang Wang, Mohit Gupta, Song Zhang, Sen Wang, David Gu, Dimitris Samaras, Peisen
Huang, In Proc. of ICCV 2005, pp.
388-395.
·
Integration of
Conditionally Dependent Object Features for Robust Figure/Background
Segmentation,
Francesc Moreno-Noguer,
Alberto Sanfeliu, Dimitris Samaras. In Proc. of
ICCV 2005 pp. 1713-1720.
·
Face
Reconstruction across Different Poses and Arbitrary Illumination Conditions,
Sen Wang, Lei
Zhang, Dimitris Samaras, In Proc AVBPA 2005, pp. 91-101.
·
Object class
recognition using multiple layer boosting with
multiple features.
Wei Zhang, Bing Yu, Greg Zelinsky,
and Dimitris Samaras. In IEEE Proc. of CVPR 2005, pp II:323-330. Background set (Download)
·
Face
Synthesis and Recognition under Arbitrary Unknown Lighting using a Spherical
Harmonic Basis Morphable Model,
Lei Zhang, Sen
Wang, Dimitris Samaras In IEEE Proc. of CVPR 2005 pp. II:209-216
·
Machine
Learning for Clinical Diagnosis from Functional Magnetic Resonance Imaging,
Lei Zhang, Dimitris Samaras, Dardo Tomasi, Nora Volkow Rita
Goldstein, In IEEE Proc. of CVPR 2005 pp. I:1211 – 1217.
·
Image-Driven
Re-targeting and Relighting of Facial Expressions,
Lei Zhang, Yang Wang, Sen Wang, Dimitris Samaras, In Proc CGI 2005, pp.
11-18.
·
High Resolution
Acquisition, Learning and Transfer of Dynamic 3-D Facial Expressions
Yang Wang, Xiaolei Huang, Chan-Su Lee, Song Zhang, Zhiguo Li, Dimitris Samaras, Dimitris Metaxas,
Ahmed Elgammal, Peisen
Huang In Computer Graphics Forum (EuroGraphics 2004) pp. III: 677-686.
·
Fusion of a
Multiple Hypotheses Color Model and Deformable Contours for Figure Ground Segmentation
in Dynamic Environments
Francesc Moreno-Noguer,
Alberto Sanfeliu, Dimitris Samaras In Proc. 3rd IEEE Workshop on Articulated and Nonrigid Motion, ANM’04, (in conjunction with
CVPR’04).
·
A
Hierarchical Framework for High Resolution Facial Expression Tracking
Xiaolei Huang, Song Zhang, Yang Wang, Dimitris Metaxas, Dimitris Samaras In Proc. 3rd IEEE Workshop on Articulated and Nonrigid
Motion, ANM’04, (in conjunction with CVPR’04).
·
Pose
Invariant Face Recognition under Arbitrary Unknown Lighting using Spherical
Harmonics,
Lei Zhang, Dimitris Samaras. In Proc
Biometric Authentication Workshop 2004, (in conjunction with ECCV2004)
·
Shape
Reconstruction from 3D and 2D Data Using PDE-Based Deformable Surfaces,
Ye Duan, Liu Yang, Hong Qin,
Dimitris Samaras In Proc ECCV 2004, pp III:238-251
·
Multiple
Directional Illuminant Estimation from a Single Image.
Yang Wang, Dimitris Samaras In Proc. IEEE Workshop on Color and Photometric
Methods in Computer Vision (in conjunction with ICCV 2003).
·
Estimation
of Multiple Directional Light Sources for Synthesis of Augmented Reality
Images.
Yang Wang, Dimitris Samaras In Graphical Models,
July 2003, pp. 185-205. (Special Issue on Pacific Graphics 2002).
·
Face
Recognition Under Variable Lighting using Harmonic
Image Exemplars.
Lei Zhang, Dimitris Samaras. In Proc. CVPR 2003 pp I: 19-25.
·
Using Multiple
Cues for Hand Tracking and Model Refinement
Shan Lu, Dimitris Metaxas, Dimitris Samaras, John
Oliensis. In Proc. CVPR 2003 pp. II:443-450.
·
Illumination
Constraints in Deformable Models for Shape and Light Direction Estimation.
Dimitrios Samaras, Dimitris Metaxas.
In IEEE Trans. PAMI Feb. 2003, pp. 247-264
·
Model-based
Integration of Visual Cues for Hand Tracking.
Shan Lu, Gang Huang , Dimitris Samaras, Dimitris Metaxas. In Proc. WMVC 2002
Video top-lit. Video side-lit.
·
Estimation
of Multiple Directional Light Sources for Synthesis of Mixed Reality Images.
Yang Wang, Dimitris Samaras In Proc. Pacific
Graphics 2002, pp. 38-47.
·
Estimation
of Multiple Illuminants from a Single Image of Arbitrary Known Geometry
Yang Wang, Dimitris Samaras, In Proc. ECCV 2002. pp. III:272-288
Slides
from the ECCV 02 presentation and some results
from this paper.
·
Variable Albedo Surface Reconstruction from Stereo and Shape from
Shading.
Dimitrios Samaras,
Dimitris Metaxas, Pascal Fua,
Y.G.Leclerc. In Proc.
CVPR 2000, pp. I:480-487.
Some results
from this paper.
·
Coupled Lighting
Direction and Shape Estimation from Single Images.
Dimitrios Samaras and Dimitris Metaxas.
In Proc. ICCV 1999, pp. 868-874
·
Incorporating
Illumination Constraints in Deformable Models.
Dimitrios Samaras and Dimitris Metaxas.
In Proc CVPR 1998, pp. 322-329.