This paper presents a new method for an automatic matching between a free form 3D objects and a single image. This matching could be used for object recognition and/or object 3D recovering. This kind of problem has raised a tremendous amount of interest in research fields such as Computer Vision and more specifically in Augmented Reality. The original idea brought by our method is to use a photoclinometric framework (such as Shape from Shading) in order to extract normal vectors information from the image. Our interest is focused on the distribution of angles between surface normal vectors and incident light vector. This information is discriminate for free form objects without symmetries, and one can show that it could be used to match between the image and the model by using an aspect graph featuring this distribution.