Structure From Motion for Scenes Without Features

We describe an algorithm for reconstructing the 3D shape of the scene and the relative pose of a number of cameras from a collection of images under the assumption that the scene does not contain photometrically distinct "features". We work under the explicit assumption that the scene is made of a number of smooth surfaces that radiate constant energy isotropically in all directions, and setup a regionbased cost functional that we minimize using local gradient flow techniques.

• Type: Conference
• Year: 2003
• Where: CVPR
• Authors: Anthony J. Yezzi, Stefano Soatto
• Keywords: Computer Vision, CVPR 2003, Explicit Assumption, Gradient Flow Techniques, Relative Pose