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.
- Guilherme Augusto Potje (firstname.lastname@example.org) – MSc. student (DCC @ UFMG)
- Gabriel Dias Resende (email@example.com) – Undergraduate student (DCC @ UFMG)
- Erickson R. Nascimento (firstname.lastname@example.org) – (DCC @ UFMG)
- Prof. Mario Fernando Montenegro Campos (email@example.com) – (DCC @ UFMG)