We introduce a new structural constraint that can be used for matching points in image pairs taken from a wide baseline. No assumption is made about the geometry of the 3?D points or of surfaces in the scene, nor about the location or orientation of the cameras. This structural constraint can be used to reduce the search space when matching a number of feature points in two images, eliminating the risk of selecting a matching that is provably wrong because unrealizable.