A new method for both grey level and color object retrieval is presented in this paper. Our feature is based on previous works on force histogram notion which is extended here to handle withphotometric information. This kind of feature has low computing time and allows to keep fundamental geometric transformations as scale, translation, symmetry and rotation. More precisely objects are processed by defining a tridimensional signature which takes into account their photometric variations and their shapes. Experimental results show the promising aspect of our approach.