Fast range data acquisition of objects is often needed in computer vis
ion applications such as robot vision. In this paper, a fast range dat
a acquisition approach based on space continuity and orientation const
raints is proposed. First a masking technique which can reconstruct ob
jects efficiently with the epipolar constraint in trinocular vision is
presented. Subsequently the artificial point problem is analysed and
an artificial point removal algorithm based on a space continuity cons
traint is proposed. In order to ensure correct initial reconstructed p
oints, an orientation constraint is introduced. Finally, some reconstr
uction experiments illustrate the feasibility of our approach.