We propose a method to recover 3-dimensional shape of an object
rotating on a turntable.
A spacio-temporal image is made of the sequential images taken by a
Then, the trajectories which correspond to the 3-D points on the surface
are extracted in the spacio-temporal image
by using ``weighted voting'' of all intensity values on a constrained surface.
Since the method consequently utilize intensity information as it is,
the method can recover dense 3-D positions compared with the one using
feature extraction and tracking.
Also, it can recover concave shapes unlike the one using silhouettes
of the object.
The experimental results with real images
have shown the effectiveness of our method.