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A flexile and high precision calibration method for binocular structured light scanning system.
Yuan, Jianying; Wang, Qiong; Li, Bailin.
Afiliação
  • Yuan J; School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, Sichuan 610031, China ; School of Automatic Control and Mechanical Engineering, Kunming University, Kunming, Yunmun 650214, China.
  • Wang Q; School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, Sichuan 610031, China.
  • Li B; School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, Sichuan 610031, China.
ScientificWorldJournal ; 2014: 753932, 2014.
Article em En | MEDLINE | ID: mdl-25202736
ABSTRACT
3D (three-dimensional) structured light scanning system is widely used in the field of reverse engineering, quality inspection, and so forth. Camera calibration is the key for scanning precision. Currently, 2D (two-dimensional) or 3D fine processed calibration reference object is usually applied for high calibration precision, which is difficult to operate and the cost is high. In this paper, a novel calibration method is proposed with a scale bar and some artificial coded targets placed randomly in the measuring volume. The principle of the proposed method is based on hierarchical self-calibration and bundle adjustment. We get initial intrinsic parameters from images. Initial extrinsic parameters in projective space are estimated with the method of factorization and then upgraded to Euclidean space with orthogonality of rotation matrix and rank 3 of the absolute quadric as constraint. Last, all camera parameters are refined through bundle adjustment. Real experiments show that the proposed method is robust, and has the same precision level as the result using delicate artificial reference object, but the hardware cost is very low compared with the current calibration method used in 3D structured light scanning system.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Modelos Teóricos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Modelos Teóricos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2014 Tipo de documento: Article