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A fast 3D model reconstruction methodology is desirable in many applications such as urban planning, training, and simulations. In this paper, we develop an automated algorithm for texture mapping oblique aerial images onto a 3D model generated from airborne light detection and ranging (LiDAR) data. Our proposed system consists of two steps. In the first step, we combine vanishing points and global...
For the 3D reconstruction inside historic buildings, we need a marker-free automatic registration approach to align different views together, because GPS does not work indoors and markers are not allowed to paste on the walls. This paper presents an automatic matching process, which employs a novel algorithm, Dynamic Matching Tree technique, for a fast and stable coarse-matching to achieve the automatic...
The registration and 3D mosaicing of range images presents an interesting challenge for the underwater domain. This work attempts to lay out some of the issues involved in generating large 3D reconstructions of the benthos from two distinct views gathered from an AUV. Specifically, we address using 3D feature correspondence to estimate a Euclidean transformation between views and then refine that...
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