  Active stereo vision is important in reconstructing objects without obvious
textures. However, it is still very challenging to extract and match the
projected patterns from two camera views automatically and robustly. In this
paper, we propose a new pattern extraction method and a new stereo vision
matching method based on our novel structured light pattern. Instead of using
the widely used 2D disparity to calculate the depths of the objects, we use the
ray intersection to compute the 3D shapes directly. Experimental results showed
that the proposed approach could reconstruct the 3D shape of the object
significantly more robustly than state of the art methods that include the
widely used disparity based active stereo vision method, the time of flight
method and the structured light method. In addition, experimental results also
showed that the proposed approach could reconstruct the 3D motions of the
dynamic shapes robustly.
