Etienne Grossmann's homepage

[ Research | Publications | Code | CV | Photo | Teaching | Writing tips | Contact ]

(older photo, younger me)

I do computer vision research at Magic Leap, previously at Intel and TYZX, ... after a stay at the Image processing lab of the Informatics and Operations Research Department of the Université de Montréal, Canada. Before that: Assistant Research Professor (CS) at the   Center for Visualization and Virtual Environments of the University of Kentucky, Lexington, USA.   Previously: in Lisbon, at the Computer Vision Lab of the Institute of Systems and Robotics.

Research

• Stereo vision.
• Non-parametric camera calibration, as in this ECCV '08 paper (for discrete cameras) or this CVPR '06 paper (for continuous cameras).
• Machine learning. See these papers, on the design of decision trees (LCVPR'04) and on the design of cascaded classifiers (S+SPR'04). I am also developing a theory of nested learners (in practice: decision trees), which I call "matryoshki".
• Video analysis. See this paper on semi-automatic background subtraction (BMVC'05) and this one on detecting left luggage (the PETS 2006 challenge).
  
• 3D reconstruction with geometric constraints (w/ datasets).
• Performance analysis of uncalibrated 3D reconstruction (w/ datasets).
• 3D reconstruction by paraperspective factorization.
  

Other academic interests

• Estimation theory, especially with small samples and in the limit of low noise.
  
• Camera calibration from one image and geometric clues.
• Model selection.
• Mathematical biology (aka theoretical biology), especially population dynamics.
• Sporadic interest in non-standard analysis.
• Estimation of optic flow.
• Camera-projector systems.
• 3D displays.

Publications

Writing Tips

Curriculum Vitae

• In English [PDF] (2011).

• research statement (2006) and
• teaching statement (2006).

Contact / Address

[ Research | Publications | Code | CV | Photo | Teaching | Writing tips | Contact ]