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Energy based multi-model fitting & matching for 3D reconstruction (2014)
| Content Provider | CiteSeerX |
|---|---|
| Author | Isack, Hossam Boykov, Yuri |
| Abstract | Standard geometric model fitting methods take as an input a fixed set of feature pairs greedily matched based only on their appearances. Inadvertently, many valid matches are discarded due to repetitive texture or large baseline between view points. To address this problem, matching should consider both feature appearances and geometric fitting errors. We jointly solve feature matching and multi-model fitting problems by optimizing one energy. The formulation is based on our generalization of the assignment problem and its efficient min-cost-max-flow solver. Our approach significantly increases the number of correctly matched features, improves the accuracy of fitted models, and is robust to larger baselines. |
| File Format | |
| Publisher Date | 2014-01-01 |
| Access Restriction | Open |
| Subject Keyword | Large Baseline Efficient Min-cost-max-flow Solver Feature Pair Standard Geometric Model Assignment Problem Repetitive Texture Fixed Set Feature Appearance Geometric Fitting Error Fitted Model View Point Multi-model Fitting Problem Many Valid Match Feature Matching |
| Content Type | Text |