Computer Vision, IEEE International Conference on (2001)
Vancouver, B.C., Canada
July 7, 2001 to July 14, 2001
Drew Steedly , GVU Center
Irfan Essa , GVU Center
We present a new technique that improves upon existing structure from motion (SFM) methods. We propose a SFM algorithm that is both recursive and optimal. Our method incorporates innovative information from new frames into an existing solution without optimizing every camera pose and scene structure parameter. To do this, we incrementally optimize larger subsets of parameters until the error is minimized. These additional parameters are included in the optimization by tracing connections between points and frames. In many cases, the complexity of adding a frame is much smaller than full bundle adjustment of all the parameters. Our algorithm is best described as incremental bundle adjustment as it allows new information to be added to an existing non-linear least-squares solution.
I. Essa and D. Steedly, "Propagation of Innovative Information in Non-Linear Least-Squares Structure from Motion," Computer Vision, IEEE International Conference on(ICCV), Vancouver, B.C., Canada, 2001, pp. 223.