High-Precision ۳D Modeling in Close-Range Photogrammetry Using a Smartphone Camera

This study evaluates the accuracy of ۳D modeling using a smartphone, an increasingly accessible tool for digital reconstruction. A total of ۶۶۳ images were captured from multiple angles to generate a detailed ۳D model, which was then compared to actual measurements to assess its precision. The results showed variable accuracy, with relative errors ranging from ۰.۸۴% to ۳۸.۷۱%, with higher discrepancies observed in smaller features. These errors can be attributed to factors such as camera resolution, lens distortion, lighting conditions, and the limitations of photogrammetry software. Despite these challenges, smartphone-based ۳D modeling remains a viable method for generating digital models, particularly for applications where high precision is not essential. To improve accuracy, the study recommends enhanced camera calibration, optimized image capture techniques, and the integration of high-precision tools such as LiDAR or structured light scanning. Additionally, refining imaging strategies by adjusting lighting conditions, minimizing motion blur, and optimizing the number of images could further enhance model quality. While smartphones provide a convenient and cost-effective approach to ۳D modeling, their limitations must be considered in precision-dependent applications. This study highlights both the potential and constraints of smartphone-based ۳D modeling, offering insights into areas for further improvement in digital reconstruction techniques.

کلیدواژه ها:

۳D Modeling ، Photogrammetry ، Accuracy ، Error Analysis