Robust Multiview Registration of 3D Surfaces via L_1-norm Minimization
نویسنده
چکیده
In this paper we present a robust method for simultaneous registration of multiple 3D scans. Rigid registration is an important task in many applications such as surface reconstruction, navigation and computer aided design. The goal of 3-D (rigid) registration is to align surfaces through a (rigid) transformation. A large number of existing registration algorithms are dependent on finding matching points between scans, but a significant number of them are spurious, and it is necessary to clean up the matches obtained. This requires a substantial amount of tuning of parameters and the final result might still contain outliers. Since the number of outliers are sparse we formulate the registration optimization using the `1-norm. We present experimental results to show that the performance of our algorithm is comparable to state of the art algorithms.
منابع مشابه
Robust Multiview Registration of 3D Surfaces via `1-norm Minimization
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