Analysis of a high definition camera-projector video system for geometry reconstruction

Authors:
José Luiz de Souza Filho;Roger Correia Silva;Dhiego Oliveira Sad;Renan Dembogurski;Marcelo Bernardes Vieira;Sócrates de Oliveira Dantas;Rodrigo Silva
Affiliations:
DCC/ICE, Universidade Federal de Juiz de Fora, Juiz de Fora, MG, Brazil;DCC/ICE, Universidade Federal de Juiz de Fora, Juiz de Fora, MG, Brazil;DCC/ICE, Universidade Federal de Juiz de Fora, Juiz de Fora, MG, Brazil;DCC/ICE, Universidade Federal de Juiz de Fora, Juiz de Fora, MG, Brazil;DCC/ICE, Universidade Federal de Juiz de Fora, Juiz de Fora, MG, Brazil;DCC/ICE, Universidade Federal de Juiz de Fora, Juiz de Fora, MG, Brazil;DCC/ICE, Universidade Federal de Juiz de Fora, Juiz de Fora, MG, Brazil
Venue:
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part I
Year:
2012

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Abstract

The present work describes the development of a high definition camera-projector system (with resolutions up to 1920x1080 and 1280x720). The steps and processes that lead to the reconstruction of geometry, from system setup to triangulation, are detailed. A structured light coding scheme that offers a flexible number of stripes for projection was used. One of the objectives of this work is to estimate the limit number of stripes possible within the current resolutions of high definition video. This limit number is the one that provides dense geometry reconstruction with low accuracy and precision errors. To evaluate the reconstructions, we propose a protocol for error measurement. The geometry of general objects is also presented for qualitative evaluation. Our results show that low cost but effective 3D scanners can be built with high definition video devices providing compressed data.