What is an sdf approach?

The SDF approach stands for Signed Distance Function approach, which is used in computer graphics, physics simulations, and computational geometry. It represents the distance from a point in space to the nearest surface of an object as a scalar field. The key concept is to assign a signed value to each point in space that represents the distance and orientation to the nearest surface. Inside the object, the value is negative, and outside it is positive. This allows for fast and accurate collision detection, as well as creating smoother and more realistically shaped objects. It is also often used to generate 3D models from 2D images or point clouds. One of the advantages of the SDF approach is that it is easy to modify and manipulate the shape of the object by manipulating the distance values assigned to different points in space.