TUM researchers have developed a method for generating precise 3D reconstructions of objects using only two camera perspectives, even in natural surroundings. This combines neural networks with a precise model of the illumination process, allowing for more precise reconstructions of textureless objects. This has potential applications in autonomous driving and preserving historical artefacts.
