We present a set of constraints that relate the relative depth of (sta
tionary or moving) objects in the field of view with the spatiotempora
l derivatives of the time varying image intensity function. The constr
aints are purposive in the sense that they can be used only for the re
lative depth from motion problem and not in other problems related to
motion (i.e. they lack generality). In addition, they show that relati
ve depth could be obtained without having to go through the intermedia
te step of fullly recovering 3D motion, as is commonly considered. Our
analysis indicates that exact computation of retinal motion (optic fl
ow or displacements) does not appear to be a necessary first step for
some problems related to visual motion, contrary to conventional wisdo
m. In addition, it is demonstrated that optic flow, whose computation
is an ill-posed problem, is related to the motion of the scene only un
der very restrictive assumptions. This paper is devoted to the discove
ry of the mathematical constraints relating normal flow and relative d
epth. The development of algorithms using these constraints and the st
udy of stability issues of such algorithms, is not discussed here.