Photogrammetry might seem like a convenient way to create a 3d Scanned Car using just photos and software. However, for car enthusiasts and professionals aiming for accurate 3D models, it’s crucial to understand why this method often falls short. The core issue isn’t the technology itself, but the inherent characteristics of cars that clash with how photogrammetry works.
Photogrammetry relies heavily on identifying unique points across multiple images of an object to reconstruct it in 3D. Imagine the software piecing together a puzzle solely from visual cues in photos. It searches for matching points in different pictures to estimate the object’s shape and form. This technique thrives on objects with distinctive textures or numerous unique features, like a newspaper filled with varied text.
However, cars present a significant challenge. They are often painted in single colors and boast glossy, reflective surfaces. These characteristics are problematic for photogrammetry because the software struggles to differentiate points on a uniformly colored surface. Reflections further complicate matters, as they distort the object’s actual color and introduce elements from the surroundings, confusing the point-matching process.
Shiny surfaces are also not ideal for photogrammetry. The reflections on a car’s body can mislead the software, making it difficult to accurately discern the car’s true shape. Even matte objects are better suited for photogrammetry than glossy ones due to the reflection issue.
The combination of single-color paint, high gloss, and smooth, curved surfaces makes cars photogrammetry’s worst-case scenario. Even if you were to apply a uniform coating to reduce shine, the single-color issue persists, hindering the software’s ability to find unique points.
While not ideal, achieving a usable 3d scanned car model with photogrammetry is possible, but it demands significant effort. One workaround involves applying a random pattern of matte, colored dots across the car’s surface. This provides the unique points photogrammetry needs. You would then need to capture hundreds of photos under even, diffused lighting, avoiding direct sunlight to minimize harsh reflections. This process is time-consuming and labor-intensive.
In conclusion, for creating a 3d scanned car, it’s advisable to avoid photogrammetry if accuracy and efficiency are priorities. Instead, consider investing in or renting dedicated 3D scanners like the Einstar. While even these scanners might require surface preparation, they offer a far more streamlined and less frustrating path to obtaining a high-quality 3D car model. Opting for specialized scanning technology will save you considerable time and effort compared to the cumbersome and often less accurate results from photogrammetry on cars.
