3D Registration of Multi-modal Data Using Surface Fitting
نویسندگان
چکیده
The registration of two 3D point clouds is an essential step in many applications. The objective of our work is to estimate the best geometric transformation to merge two point clouds obtained from different sensors. In this paper, we present a new approach for feature extraction which is distinguished by the nature of the extracted signature of each point. The descriptor we propose is invariant to rotation and overcomes the problem of multi-resolution. To validate our approach, we have tested on synthetic data and we have applied to heterogeneous real data.
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