Automatic reconstruction of stationary 3-D objects from multipleuncalibrated camera views
Eisert, P.; Steinbach, E.; Girod, B.
Circuits and Systems for Video Technology, IEEE Transactions on
Volume 10, Issue 2, Mar 2000 Page(s):261 - 277
Digital Object Identifier 10.1109/76.825726
Summary:A system for the automatic reconstruction of real-world objects
from multiple uncalibrated camera views is presented. The camera
position and orientation for all views, the 3-D shape of the rigid
object, as well as the associated color information, are recovered from
the image sequence. The system proceeds in four steps. First, the
internal camera parameters describing the imaging geometry are
calibrated using a reference object. Second, an initial 3-D description
of the object is computed from two views. This model information is then
used in a third step to estimate the camera positions for all available
views using a novel linear 3-D motion and shape estimation algorithm.
The main feature of this third step is the simultaneous estimation of
3-D camera-motion parameters and object shape refinement with respect to
the initial 3-D model. The initial 3-D shape model exhibits only a few
degrees of freedom and the object shape refinement is defined as
flexible deformation of the initial shape model. Our formulation of the
shape deformation allows the object texture to slide on the surface,
which differs from traditional flexible body modeling. This novel
combined shape and motion estimation using sliding texture considerably
improves the calibration data of the individual views in comparison to
fixed-shape model based camera-motion estimation. Since the shape model
used for model based camera-motion estimation is only approximate, a
volumetric 3-D reconstruction process is initiated in the fourth step
that combines the information from ail views simultaneously. The
recovered object consists of a set of voxels with associated color
information that describes even fine structures and details of the
object. New views of the object can be rendered from the recovered 3-D
model, which has potential applications in virtual reality or multimedia
systems and the emerging field of video coding using 3-D scene models
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