Design, Implementation and Comparison of Low-Cost Laser Scanning Systems for 3D Modeling

Abstract

3 dimensional (3D) modeling of an object or an environment using point clouds is an important problem in many scientific fields such as photogrammetry, remote sensing, materials processing, reverse engineering, construction industry, virtual reality and medicine etc. Laser scanning is an effective technique that facilitates 3D modeling process with providing large amount of 3D point cloud data in a short time. In this study, design process of point laser sensor and line laser sensor based low cost scanner systems is proposed. Performed 3D data measurements with these two different laser scanners show that; point laser range sensor based scanner, that can capture lesser 3D point for per second, provides more detailed and more sensitive measurements. It can be preferred in applications when the details are very important and are suitable for modeling small objects. However, line laser range sensor based scanner can capture much more 3D point data per second and it is suitable for applications where time critical models with large objects and environment.

An Improved Approach for Generating Digital Twins of Cultural Spaces through the Integration of Photogrammetry and Laser Scanning Technologies

“…Villa et al [24] focus on curvature changes and morphological analysis, indirectly supporting precision by demonstrating detailed and accurate morphological feature capture. Kurban [25] highlights laser scanners' ability to obtain large 3D point clouds for constructing precise 3D models. Rodriguez-Quinonez et al [26] discuss 3D laser scanners' precision and accuracy in applications like building and city modeling.…”

Luminance Prediction of Paper Model Surface Based on Non-Contact Measurement

“…But the information obtained from the 3D object surface is almost about the distance information which is used to create the surface point cloud information to construct the object surface shape. It does not include the surface luminance and colour information which is obviously different from the information obtained using 2D scanner that mostly includes luminance information and colour information [7]. On the other hand, perception, prediction and representation of 3D object surface colour information must work with the help of luminance.…”