Abstract:
This article presents a new method to
determine disparity map useful for three-dimensional
(3D) scene reconstruction. The main task behind the
computation of disparity map is stereo
correspondence matching. In recent years, several
stereo matching algorithms have been developed to
find corresponding pairs in two images: left and right
images captured by a stereo camera. But these
algorithms exhibit a very high computational cost.
With a view to reduce the computation time and
produce a smooth and detailed disparity map, a fast
and new approach based on average disparity
estimation is proposed in this research, which can
tackle additive noise. Experimental results confirm
that the method achieves a substantial gain in
accuracy with less expense of computation time.
