Optimizing Submillimeter 3D Modeling with Auxiliary Lighting and Artificial Textures: An SfM-Based Approach.

Background: This study examines the influence of auxiliary lighting configurations and artificial surface textures on the quality of 3D models generated using Structure from Motion (SfM) in an indoor laboratory setting. Method: Experiments were conducted by capturing images of concrete, metal, and wooden specimens at a one-meter distance. Various lighting setups, including vertical and adjacent auxiliary lighting models, were tested to determine their impact on model accuracy. In addition, complex artificial textures, such as checkerboard patterns, were applied to the specimens to assess their effect on 3D model precision. Results: Our results demonstrate that optimal lighting and artificial textures significantly enhance the accuracy of 3D models, especially for materials with uniform textures, such as painted metal. For materials with more varied textures, such as concrete and wood, improvements were notable but less pronounced. The combination of auxiliary lighting and artificial textures improved model quality by approximately 40% for high-texture materials and up to 60% for uniform-texture materials. Furthermore, the study highlights the role of image file formats in the SfM process. While RAW images stored in TIFF format offered a slight advantage over lossless JPEG in terms of model accuracy, the difference may not be substantial enough to justify the larger file size in situations where submillimeter precision is not required. Conclusions: Overall, our findings emphasize the importance of tailored lighting and texturing strategies for achieving high-precision 3D models in SfM applications. These results are particularly relevant for structural testing and other applications that demand high-fidelity 3D reconstructions, providing a foundation for more accurate and reliable models.