Karel Zimmermann, Tomas Svoboda, Jiri Matas: Multiview 3D Tracking with
an Incrementally Constructed 3D Model
Abstract:
We propose a multiview tracking method for approximately rigid objects.
Assuming that a part of the object is visible in at least two cameras, a
partial 3D model is reconstructed in terms of a collection of small 3D planar
patches of arbitrary topology. The 3D representation, recovered fully
automatically, allows to formulate tracking as gradient minimization in pose
(translation, rotation) space. As the object moves, the 3D model is
incrementally updated. A virtuous circle emerges: tracking enables composition
of the partial 3D model; the 3D model facilitates and robustifies the
multiview tracking. Experimentally, we demonstrate that the interleaved
track-and-reconstruct approach successfully tracks a 360 degrees turn-around
and a wide range of motions. As a side product, a 3D model is delivered.
Monocular tracking is also possible after the model is constructed. Using more
cameras, however, significantly increases stability in critical poses and
moves.