Abstract

We present a comparison of point cloud generation and quality of data acquired by Zebedee (Zeb1) and Leica C10 devices which are used in the same building interior. Both sensor devices come with different practical and technical advantages. As it could be expected, these advantages come with some drawbacks. Therefore, depending on the requirements of the project, it is important to have a vision about what to expect from different sensors. In this paper, we provide a detailed analysis of the point clouds of the same room interior acquired from Zeb1 and Leica C10 sensors. First, it is visually assessed how different features appear in both the Zeb1 and Leica C10 point clouds. Next, a quantitative analysis is given by comparing local point density, local noise level and stability of local normals. Finally, a simple 3D room plan is extracted from both the Zeb1 and the Leica C10 point clouds and the lengths of constructed line segments connecting corners of the room are compared. The results show that Zeb1 is far superior in ease of data acquisition. No heavy handling, hardly no measurement planning and no point cloud registration is required from the operator. The resulting point cloud has a quality in the order of centimeters, which is fine for generating a 3D interior model of a building. Our results also clearly show that fine details of for example ornaments are invisible in the Zeb1 data. If point clouds with a quality in the order of millimeters are required, still a high-end laser scanner like the Leica C10 is required, in combination with a more sophisticated, time-consuming and elaborative data acquisition and processing approach.

Highlights

  • Three-dimensional (3D) modeling of building interiors has vital importance for fields and tasks such as robotics, surveying, object scanning, mobile mapping, tourism, gaming and energy efficiency assessment

  • We have provided comparison results of Leica and Zeb1 point clouds sampling the same room

  • Besides discussing practical advantages and disadvantages, we have provided detailed quantitative quality analysis in terms of local point density, noise level and reconstruction capacities

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Summary

INTRODUCTION

Three-dimensional (3D) modeling of building interiors has vital importance for fields and tasks such as robotics, surveying, object scanning, mobile mapping, tourism, gaming and energy efficiency assessment. Even laser scanner sensors have many different technologies and designs available for generating 3D models of interiors. This paper provides valuable information by focusing on practical and technical features of Zebedee (Zeb1) and Leica C10 laser scanners for interior point cloud acquisition. In the rest of the paper, we discuss and compare point clouds of both the Leica C10 and the Zeb laser scanners in detail. While several handheld 3-D scanners are commercially available (e.g., Z Corporations ZScanner, Leicas T-Scan, and Mantis Visions MVC-F5), they are primarily intended for object scanning applications, often require modification to the environment, and have limited working volume that is not appropriate for large-scale mobile applications. The IMU is a MicroStrain 3DM-GX2, an industrial-grade IMU that contains triaxial MEMS gyros and accelerometers with an output rate of 100 Hz

Leica C10
Preparing the input data for comparison
Door boundaries
Baseline Analysis
CONCLUSIONS AND FINAL REMARKS
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