Quadratic Surface Reconstruction from Multiple Views Using SQP
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概要
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We propose using SQP (Sequential Quadratic Programming) to directly recover 3D quadratic surface parameters from multiple views. A surface equation is used as a constraint. In addition to the sum of squared reprojection errors defined in the traditional bundle adjustment, a Lagrangian term is added to force recovered points to satisfy the constraint. The minimization is realized by SQP. Our algorithm has three advantages. Firstly, given corresponding features in multiple views, the SQP implementation can directly recover the quadratic surface parameters optimally instead of a collection of isolated 3D points coordinates. Secondly, SQP guarantees that the constraint is strictly satisfied. Thirdly, the camera parameters and 3D coordinates of points can be determined more accurately than that by unconstrained methods. Experiments with both synthetic and real images show the power of this approach.
- 一般社団法人情報処理学会の論文
- 2003-07-03