|
Abstract We propose a
method for estimating the 3D structure and
the
dense 3D motion (scene flow) of a dynamic nonrigid 3D scene, using a
camera array. The core iEdea is to use a dense multi-camera array to
construct a novel, dense 3D volumetric representation of the 3D space
where each voxel holds an estimated intensity value and a confidence
measure of this value. The problem of 3D structure and 3D motion
estimation of a scene is thus reduced to a nonrigid registration of two
volumes–hence the term ”Scene Registration”.
Registering two dense 3D
scalar volumes does not require recovering the 3D structure of the
scene as a pre-processing step, nor does it require explicit reasoning
about occlusions. From this nonrigid registration we accurately extract
the 3D scene flow and the 3D structure of the scene, and successfully
recover the sharp discontinuities in
both time and space. We demonstrate the advantages of our method on a
number of challenging synthetic and real datasets.
|
-------------------------------------------------------------------------------------------------------------------------- |
|
