Our system automatically
constructs simple 'pop-up' 3D
models, like those one would
find in a children's book, out
of a single outdoor image. The
system labels each region of
an outdoor image as ground,
vertical, or sky. Line
segments fitted to the
ground-vertical boundary in
the image and an estimate of
the horizon's positio
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Our system automatically
constructs simple 'pop-up' 3D
models, like those one would
find in a children's book, out
of a single outdoor image. The
system labels each region of
an outdoor image as ground,
vertical, or sky. Line
segments fitted to the
ground-vertical boundary in
the image and an estimate of
the horizon's position provide
the necessary information to
determine where to 'cut' and
'fold' in the image. The model
is then popped up, and the
image is texture mapped onto
the model.This work is part of
an on-going effort in
Geometrically Coherent Image
Interpretation. In our ICCV'05
paper Geometric Context from a
Single Image, we provide a
quantitative analysis of our
system and extend our work by
subclassifying vertical
regions and using the
geometric labels as context
for object detection. In our
newest CVPR'06 paper, Putting
Objects in Perspective, we
show how 3D reasoning can be
used to aid in object
detection.

Category Film & Animation

Tags 3D, Automatic