The Precision, Inter-Rater Reliability, and Accuracy of a Handheld Scanner Equipped with a Light Detection and Ranging Sensor in Measuring Parts of the Body—A Preliminary Validation Study

Callegari, Enrica; Agnolucci, Jacopo; Angiola, Francesco; Fais, Paolo; Giorgetti, Arianna; Giraudo, Chiara; Viel, Guido; Cecchetto, Giovanni

doi:10.3390/s24020500

Cited by 1 publication

(1 citation statement)

References 32 publications

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“…The task to analyze and assess the implemented LiDAR technology using an iPad Pro has been introduced into industrial [34] or urban environments [35], into the civil engineering regarding cultural heritage [36][37][38], and also into less common fields such as medical issues [39] and sports [40]. In reference [34], the authors compared the iPad LiDAR to an industrial 3D scanning system.…”

Section: Problem Overviewmentioning

confidence: 99%

Usage of a Conventional Device with LiDAR Implementation for Mesh Model Creation

Smrčková,

Chromčák,

Ižvoltová

et al. 2024

Buildings

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The trend of using conventional devices like mobile phones, tablets, and the other devices is gaining traction in improving customer service practices. This coincides with the growing popularity of building information modeling (BIM), which has led to increased exploration of various 3D object capture methods. Additionally, the technological boom has resulted in a surge of applications working with different 3D model formats including mesh models, point cloud, and TIN models. Among these, the usage of mesh models is experiencing particularly rapid growth. The main objective advantages of mesh models are their efficiency, scalability, flexibility, sense of detail, user-friendliness, and compatibility. The idea of this paper is to use a conventional device, specifically an iPad Pro equipped with light detection and ranging (LiDAR) technology, for creating mesh models. The different data capture methods employed by various applications will be compared to evaluate the final models´ precision. The accuracy of the 3D models generated by each application will be assessed by comparing the spatial coordinates of identical points distributed irregularly across the entire surface of the chosen object. Various available currently most-used applications were utilized in the process of data collection. In general, 3D representations of the object/area, etc., may be visualized, analyzed, and further processed in more formats such as TIN models, point cloud, or mesh models. Mesh models provide a visualization of the object mirroring the solid design of the real object, thus approximating reality in the closest way. This fact, along with automatized postprocessing after data acquisition, the ability to capture and visualize both convex and concave objects, and the possibility to use this type of 3D visualization for 3D printing, contribute to the decision to test and analyze mesh models. Consequently, the mesh models were created via the automatic post-processing, i.e., without external intervention. This fact leads to the problems of random coordinate systems being automatically pre-defined by every application. This research must deal with the resulting obstacles in order to provide a valid and credible comparative analysis. Various criteria may be applied to the mesh models’ comparisons, including objective qualitative and quantitative parameters and also the subjective ones. The idea of this research is not to analyze the data acquisition process in detail, but instead to assess the possibilities of the applications for the basic users.

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