In this project, we propose an efficient approach based on structure-from-motion (SfM) and multi-view stereo (MVS) reconstruction techniques to automatically generate 3D models from images. We use meta-data information such as GPS, keypoint filtering and overlapping local bundle adjustment refinements instead of global optimization in a novel scheme to speed up the incremental SfM process since for large datasets the processing time is still undesirable.

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