Abstract
Automatic building 3D models of objects and scenes from a sequence
of 2D monocular images is approached by first building a partial model
(possibly noisy) and then extending and refining it. The initial model
is built by tracking and reconstructing shallow structures over a
sequence of images using the constraint of affine trackability. This
model is subsequently used to compute the pose that relates the model
coordinate system and the camera coordinate system of the image frames
in the sequence. The unmodeled 3D features (those not recovered by the
shallow structure reconstruction) are tracked over the image sequence
and their 3D locations recovered by a pseudotriangulation process. The
triangulation process is also used to make new 3D measurements of the
initial model points. These measurements are then fused with the
previous estimates to refine the set of initial model points
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
Cart
