Self-Calibration of Projector Camera Systems

We propose a method for geometric calibration of an active vision system, composed of a projector and a camera, using structured light projection. Unlike existing methods of self-calibration for projector-camera systems, our method estimates the intrinsic parameters of both the projector and the camera as well as extrinsic parameters except a global scale without any calibration apparatus such as a checker-pattern board. Our method is based on the decomposition of a radial fundamental matrix into intrinsic and extrinsic parameters. Dense and accurate correspondences are obtained utilizing structured light patterns consisting of Gray code and phase-shifting sinusoidal code. To alleviate the sensitivity issue in estimating and decomposing the radial fundamental matrix, we propose an optimization approach that guarantees the possible solution using a prior for the principal points. We demonstrate the stability of our method using several examples and evaluate the system quantitatively and qualitatively.

Publications

Shuntaro Yamazaki, Masaaki Mochimaru, and Takeo Kanade,
Simultaneous self-calibration of a projector and a camera using structured light,
In Proc. Projector Camera Systems 2011,
June 2011
[Paper (preprint)] [Movie] [Presentation] [BibTex ]

Supplementary Materials

This movie presents an example scenario of our calibration process.

Software

Download source code and sample data.