Optimizing Camera Placements for Overlapped Coverage with 3D Camera
Projections
- URL: http://arxiv.org/abs/2203.10479v1
- Date: Sun, 20 Mar 2022 07:29:03 GMT
- Title: Optimizing Camera Placements for Overlapped Coverage with 3D Camera
Projections
- Authors: Akshay Malhotra, Dhananjay Singh, Tushar Dadlani, Luis Yoichi Morales
- Abstract summary: We propose a method to compute camera 6Dof poses to achieve a user defined coverage.
A camera lens model is utilized to project the cameras view on a 3D voxel map to compute a coverage score which makes the optimization problem in real environments tractable.
- Score: 0.6882042556551609
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: This paper proposes a method to compute camera 6Dof poses to achieve a user
defined coverage. The camera placement problem is modeled as a combinatorial
optimization where given the maximum number of cameras, a camera set is
selected from a larger pool of possible camera poses. We propose to minimize
the squared error between the desired and the achieved coverage, and formulate
the non-linear cost function as a mixed integer linear programming problem. A
camera lens model is utilized to project the cameras view on a 3D voxel map to
compute a coverage score which makes the optimization problem in real
environments tractable. Experimental results in two real retail store
environments demonstrate the better performance of the proposed formulation in
terms of coverage and overlap for triangulation compared to existing methods.
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