We consider a class of random point and germ-grain processes, obtained usin
g a rather natural weighting procedure. Given a Poisson point process, on e
ach point one places a grain, a (possibly random) compact convex set. Let X
i be the union of all grains. One can now construct new processes whose den
sity is derived from an exponential of a linear combination of quermass fun
ctionals of Xi. If only the area functional is used, then the area-interact
ion point process is recovered. New point processes arise if we include the
perimeter length functional, or the Euler functional (number of components
minus number of holes). The main question addressed by the paper is that o
f when the resulting point process is well-defined: geometric arguments are
used to establish conditions for the point process to be stable in the sen
se of Ruelle.