lumenmallinnus

Lumenmallinnus, also known as photometric stereo, is a computer vision technique used to reconstruct the shape of a surface from a set of images. This is achieved by capturing images of the same object under different lighting conditions. Each image is taken from a fixed viewpoint, but the direction of the light source is varied.

The core principle behind lumenmallinnus is that the intensity of light reflected from a surface depends on the surface's orientation and the direction of the light. By analyzing how the brightness of a pixel changes across multiple images with different light directions, it's possible to infer the surface normal at that pixel. The surface normal is a vector perpendicular to the surface at that point.

Once the surface normals for all pixels are estimated, they can be integrated to reconstruct the 3D shape of the object. This integration process essentially sums up the infinitesimal contributions of each surface normal to build up the complete topography. Lumenmallinnus is particularly effective for creating detailed, high-resolution surface maps of objects with diffuse reflection properties. It is often used in applications such as industrial inspection, reverse engineering, and the creation of digital 3D models. The accuracy of the reconstruction depends on the quality of the input images, the known lighting directions, and the assumption that the surface has Lambertian reflectance, meaning it reflects light equally in all directions.