Acquiring 3D Model of Object by Motion-Stereo.
Caihua Wang, Katsuhiko Sakaue · Machine Vision and Applications · 1998
We propose a passive method that acquires the 3D model of an object from a sequence of stereo imagesin which the object is moved to show all the views of it to a stationary stereo camera. First, we select a few of views of the object in the sequence, and recover the 3D shape of each view using motion-stereo frame, that is, two temporally continued frames of stereo images around the selected view. On the assumption that the background is static and the object is rigid, we can evaluate the reliability of the obtained shapes and thus can select the optimal motion-stereo frame for a view from which the shape of the object can be obtained most reliably, by examining how well the obtained matching~ satisfy either rigidity condition or stationary condition. Finally, the partial shapes obtained at the optimal motion-stereo frame of each view are integrated to generate the 3D model of the object. Experimental results on a real object show the effectiveness of the method.