ASSESSING THE ACCURACY AND PRECISION OF IMPERFECT POINT CLOUDS FOR 3D INDOOR MAPPING AND MODELING
| Autor: | J. Chen, Omar E. Mora, Keith C. Clarke |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
lcsh:Applied optics. Photonics
Accuracy and precision Laser scanning lcsh:T business.industry Computer science 010401 analytical chemistry 05 social sciences 0507 social and economic geography Process (computing) Point cloud lcsh:TA1501-1820 Iterative closest point Context (language use) lcsh:Technology 01 natural sciences Thresholding 0104 chemical sciences lcsh:TA1-2040 Histogram Computer vision Artificial intelligence lcsh:Engineering (General). Civil engineering (General) business 050703 geography |
| Zdroj: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-4-W6, Pp 3-10 (2018) |
| ISSN: | 2194-9050 |
| Popis: | In recent years, growing public interest in three-dimensional technology has led to the emergence of affordable platforms that can capture 3D scenes for use in a wide range of consumer applications. These platforms are often widely available, inexpensive, and can potentially find dual use in taking measurements of indoor spaces for creating indoor maps. Their affordability, however, usually comes at the cost of reduced accuracy and precision, which becomes more apparent when these instruments are pushed to their limits to scan an entire room. The point cloud measurements they produce often exhibit systematic drift and random noise that can make performing comparisons with accurate data difficult, akin to trying to compare a fuzzy trapezoid to a perfect square with sharp edges. This paper outlines a process for assessing the accuracy and precision of these imperfect point clouds in the context of indoor mapping by integrating techniques such as the extended Gaussian image, iterative closest point registration, and histogram thresholding. A case study is provided at the end to demonstrate use of this process for evaluating the performance of the Scanse Sweep 3D, an ultra-low cost panoramic laser scanner. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|