Name
Abstract | ||
|---|---|---|
We present an improved bundle adjustment method based on the online learned appearance subspaces of 3D points. Our method incorporates the additional information from the learned appearance models into bundle adjustment. Through the online learning of the appearance models, we are able to include more plausible observations of 2D features across diverse viewpoints. Bundle adjustment can benefit from such an increase in the number of observations. Our formulation uses the appearance information to impose additional constraints on the optimization. The detailed experiments with ground-truth data show that the proposed method is able to enhance the reliability of 2D correspondences, and more important, can improve the accuracy of camera motion estimation and the overall quality of 3D reconstruction. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-37447-0_4 | ACCV (4) |
Keywords | Field | DocType |
appearance subspaces,appearance information,feature subspaces,additional information,detailed experiment,camera motion estimation,additional constraint,appearance model,appearance-based bundle adjustment,bundle adjustment,improved bundle adjustment method | Structure from motion,Computer vision,Reprojection error,Pattern recognition,Viewpoints,Computer science,Bundle adjustment,Linear subspace,Active appearance model,Artificial intelligence,Motion estimation,3D reconstruction | Conference |
Citations | PageRank | References |
0 | 0.34 | 16 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chia-Ming Cheng | 1 | 83 | 8.03 |
| Hwann-Tzong Chen | 2 | 826 | 52.13 |