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3D free form object recognition is one of the most difficult problems in computer vision. In this paper we present a new approach which exploit only one luminance image of a complex object to recognize it in the scene by identifying its appearance in the input image. For that, we construct a photometric (non geometric) projective invariant to perform matching between local regions of the object in the image and those of the model. We propose an original method based on what we called "photometric aspects" to construct a discriminative data base of the 3D object model. We demonstrate the effectiveness of our approach while implementing it with complex free form objects and we present some obtained results.