Title: A Unification of Self-calibration Methods

Date: Friday, 23 February 2001

Time: 2:00pm - 3:00pm

Venue: Room 2304, HKUST

Abstract:
The projective approach to 3D vision and self-calibration has been a very active and fruitful topic. In this talk, I will review some most important results and present a unification of self-calibration methods for a moving camera. The camera models can be 2D projective, 2D affine camera and 1D projective projections. The scenes can be either non-planar scenes or planar scenes and the camera may also undergoes a pure rotation. All these cases are unified into the same framework based on the direction bases. Each formulation on the direction bases is also paralleled with that on projective geometry concepts, essentially encoded by the various forms of the absolute conic. This unification provides not only a common theoretical framework, but also suggests unified parameterisation schema for estimation procedures.

Biography:
Long QUAN is a CNRS senior research scientist with INRIA, France. He received the Ph.D. degree in computer science from INRIA, France in 1989 and became a permanent researcher since 1990. His research interests include 3D vision geometry and image-based modelling and rendering. He has intensively worked on 3D vision geometry in the past decade, and made a series of theoretical contributions. In application fields, recently with his students, he has been developing a working image-based modelling and rendering system, which is probably the first of its kind in the world. Actually he is also leading two european consortiums in image-based modelling and rendering fields.