3-D RECONSTRUCTION OF DIGITAL OUTCROP MODEL BASED ON MULTIPLE VIEW IMAGES AND TERRESTRIAL LASER SCANNING

Conteúdo do artigo principal

Reginaldo Macedonio da Silva
Maurício Roberto Veronez
Luiz Gonzaga Júnior
Francisco Manoel Wohnrath Tognoli
Marcelo Kehl de Souza
Leonardo Campos Inocencio

Resumo

This paper presents a comparative study about 3D reconstruction based on active and passive sensors, mainly LiDAR - Terrestrial Laser Scanner (TLS) and raster images (photography), respectively. An accuracy analysis has been performed in the positioning of outcrop point clouds obtained by both techniques. To make the comparison feasible, datasets are composed by point clouds generated from multiple images in different poses using a consumer digital camera and directly by terrestrial laser scanner. After preprocessing stages to obtain these point clouds, both are compared, through the positional discrepancies and standard deviation. A preliminary analysis has been shown the feasible employment of digital image jointly 3D reconstruction method for digital outcrop modeling, concerning with data acquisition at low cost without significantly lost of accuracy when compared with LiDAR.

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SILVA, R. M. da; VERONEZ, M. R.; JÚNIOR, L. G.; TOGNOLI, F. M. W.; SOUZA, M. K. de; INOCENCIO, L. C. 3-D RECONSTRUCTION OF DIGITAL OUTCROP MODEL BASED ON MULTIPLE VIEW IMAGES AND TERRESTRIAL LASER SCANNING. Revista Brasileira de Cartografia, [S. l.], v. 68, n. 6, 2018. DOI: 10.14393/rbcv68n6-44493. Disponível em: https://seer.ufu.br/index.php/revistabrasileiracartografia/article/view/44493. Acesso em: 21 jun. 2024.
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Biografia do Autor

Reginaldo Macedonio da Silva, Universidade do Vale do Rio dos Sinos - UNISINOS

Escola Politécnica - Engenharia Cartográfica e de Agirmensura

Maurício Roberto Veronez, Universidade do Vale do Rio dos Sinos - UNISINOS

VIZLab

Luiz Gonzaga Júnior, Universidade do Vale do Rio dos Sinos - UNISINOS

VIZLab

Francisco Manoel Wohnrath Tognoli, Universidade do Vale do Rio dos Sinos - UNISINOS

VIZLab

Marcelo Kehl de Souza, Universidade do Vale do Rio dos Sinos - UNISINOS

VIZLab

Leonardo Campos Inocencio, Universidade do Vale do Rio dos Sinos - UNISINOS

VIZLab