Analysis of the Influence of the Geometrical Parameters of the Body Scanner on the Accuracy of Reconstruction of the Human Figure Using the Photogrammetry Technique

Abstract

This article concerns the research of the HUBO full-body scanner, which includes the analysis and selection of the scanner’s geometrical parameters in order to obtain the highest possible accuracy of the reconstruction of a human figure. In the scanner version analyzed in this paper, smartphone cameras are used as sensors. In order to process the collected photos into a 3D model, the photogrammetry technique is applied. As part of the work, dependencies between the geometrical parameters of the scanner are derived, which allows to significantly reduce the number of degrees of freedom in the selection of its geometrical parameters. Based on these dependencies, a numerical analysis is carried out, as a result of which the initial values of the geometrical parameters are pre-selected and distribution of scanner cameras is visualized. As part of the experimental research, the influence of selected scanner parameters on the scanning accuracy is analyzed. For the experimental research, a specially prepared dummy was used instead of the participation of a real human, which allowed to ensure the constancy of the scanned object. The accuracy of the object reconstruction was assessed in relation to the reference 3D model obtained with a scanner of superior measurement uncertainty. On the basis of the conducted research, a method for the selection of the scanner’s geometrical parameters was finally verified, leading to the arrangement of cameras around a human, which guarantees high accuracy of the reconstruction. Additionally, to quantify the results, the quality rates were used, taking into account not only the obtained measurement uncertainty of the scanner, but also the processing time and the resulting efficiency.

Mechatronic Design and Experimental Research of an Automated Photogrammetry-Based Human Body Scanner

“…The first two research problems, i.e., A and B, were the subject of an article [38] in which a method of selecting the geometrical parameters of the HUBO scanner was proposed. That method allowed a significant reduction in the number of selected parameters, because some of them are calculated on the basis of others.…”

“…Finally, the measurement uncertainty of the HUBO scanner was calculated for all N measurement points as the standard deviation of the mean σ from the formulas [38]:…”

“…Figure 8a shows a sample 3D model with texture obtained from the HUBO scanner, whilst Figure 8b shows the result of comparison of the reference 3D model with the 3D model from that scanner. Quantitative research focusing on the selection of the geometrical parameters of the scanner and the arrangement of cameras around the scanned object (research problems from groups A and B) were the subject of publication [38]. They were related to the determination of the mean error μ for the measurement points in relation to the reference 3D model and the standard deviation of this mean σ.…”

Key-Point-Descriptor-Based Image Quality Evaluation in Photogrammetry Workflows

“…This technology enables the creation of detailed three-dimensional (3D) models of objects [1][2][3][4] or scenes [5][6][7][8], transforming the way industries and sciences approach visualization and analysis [9][10][11][12][13][14][15]. Utilization of photogrammetry spans a diverse range of fields, underlining its significance in contemporary applications that demand accuracy and detail [16][17][18][19][20][21][22].…”

Improving Monocular Camera Localization for Video-Based Three-Dimensional Outer Ear Reconstruction Tasks

“…For such algorithms, it is necessary to provide an accurate 3D model of the head and ears. The mesh can be created in many ways-the head can be laser scanned [18] or it can be reconstructed photogrammetrically [19,20]. With an accurate 3D model, we can calculate a human-customized HRTF filter; researchers have developed tools for this task [21].…”