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Reports Year : 1998

Optimal Camera Placement for Accurate Reconstruction


3D measurements can be recovered from several views by triangulation. This paper deals with the problem of where to place the cameras in order to obtain a minimal error in the 3D measurements, also called {\it camera network design} in photogrammetry. We pose the problem in terms of an optimization design, dividingit into two main components: 1) an analytical part dedicated to the analysis oferror propagation from which a criterion is derived, 2) a global optimization process to minimizes this criterion. In this way, the approach consists of an uncertainty analysis applied to the reconstruction process from which a covariance matrix is computed. This matrix represents the uncertainty of the detection from which the criterion is derived. Moreover, the optimization has discontinuities mainly due to the unobser­vability of points, which leads to a combinatorial optimization process. These aspects are solved using a multicellular genetic algorithm. Experimental results are provided to illustrate the effectiveness and efficiency of the solution.
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Dates and versions

inria-00073351 , version 1 (24-05-2006)


  • HAL Id : inria-00073351 , version 1


Gustavo Olague, Roger Mohr. Optimal Camera Placement for Accurate Reconstruction. RR-3338, INRIA. 1998. ⟨inria-00073351⟩
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