%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi/2016/08.15.21.05
%2 sid.inpe.br/sibgrapi/2016/08.15.21.05.09
%T On the improvement of three-dimensional reconstruction from large datasets
%D 2016
%A Potje, Guilherme,
%A Nascimento, Erickson R.,
%A Campos, Mario F. M.,
%@affiliation DCC-UFMG
%@affiliation DCC-UFMG
%@affiliation DCC-UFMG
%E Aliaga, Daniel G.,
%E Davis, Larry S.,
%E Farias, Ricardo C.,
%E Fernandes, Leandro A. F.,
%E Gibson, Stuart J.,
%E Giraldi, Gilson A.,
%E Gois, João Paulo,
%E Maciel, Anderson,
%E Menotti, David,
%E Miranda, Paulo A. V.,
%E Musse, Soraia,
%E Namikawa, Laercio,
%E Pamplona, Mauricio,
%E Papa, João Paulo,
%E Santos, Jefersson dos,
%E Schwartz, William Robson,
%E Thomaz, Carlos E.,
%B Conference on Graphics, Patterns and Images, 29 (SIBGRAPI)
%C São José dos Campos, SP, Brazil
%8 4-7 Oct. 2016
%I Sociedade Brasileira de Computação
%J Porto Alegre
%S Proceedings
%K Structure-from-Motion, 3D Mapping.
%X The digital cameras granted many possibilities of structure and shape recovery from imagery that are quickly and inexpensively acquired by such devices. The state-of-art algorithms are now able to deliver 3D structure acquisition results from consumer-grade image sensors with quality and resolution comparable to industry standard systems. Nonetheless, the processing time of the collected imagery to produce a 3D model quickly becomes prohibitive as the number of input images increases, demanding powerful hardware and days of processing time to generate full 3D models . In this work we propose an efficient approach based on Structure-from-Motion and multi-view stereo reconstruction techniques to automatically generate 3D models from images. The results from six large aerial datasets acquired by UAVs and four terrestrial datasets show that our approach outperforms current strategies in processing time compared to three state-of-the-art SfM methods, while also preserving accuracy.
%@language en
%3 CameraReadyGuilhermePotje.pdf