Projector-camera system Application of computer vision projector-camera v3a1.

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Presentation transcript:

Projector-camera system Application of computer vision projector-camera v3a1

A Projector-Camera system projector-camera v3a2

Projector-Camera calibration projector-camera v3a3

Calibration method to find G p = (camera coordinate system to projector to transformation) Project a point x p in projector image to the projection frustum and the calibrated camera captures the handheld moving plane (4 corners) and the projected point X c. The camera coordinate system is the world coord. Sys. The 4 corners define the handheld plane for display (  ). The captured image point of X c is x c ’, which defines the vector V Xc from the camera center to the point Xc. Intersection between  and V Xc is X c, hence Xc can be found. x p =G p *Xc, so if enough points (>=6, typically 40) correspondences between X c and x p are given G p can be found. projector-camera v3a4

Our setup projector-camera v3a5

Calibration procedure projector-camera v3a6

Quadrangle tracking projector-camera v3a7

Experiments projector-camera v3a8

Projection result projector-camera v3a9

Results projector-camera v3a10

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