Graduate Student Researcher University of Waterloo Waterloo, Ontario, Canada
Automatic calibration of projector systems improves the possible environments of this technology that relies on very precise scene calibration. This paper explores the challenge of projector calibration and non-planar scene estimation. This formulation assumes no prior information on the moving camera or fixed projector. Limited scene understanding provides the basis for constructing synthetic calibration targets from which to perform a geometric recovery through bundle adjustment. Synthetic data is generated from ground-truth camera and projector parameters to explore the performance of the method over varying properties of the synthetic calibration targets.
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