Abstract
Integral imaging is a technique capable of displaying 3–D images
with continuous parallax in full natural color. It is one of the most promising
methods for producing smooth 3–D images. Extracting depth information
from integral image has various applications ranging from remote inspection,
robotic vision, medical imaging, virtual reality, to content-based image coding
and manipulation for integral imaging based 3–D TV. This paper presents
a method of generating a depth map from unidirectional integral images through
viewpoint image extraction and using a hybrid disparity analysis algorithm
combining multi-baseline, neighborhood constraint and relaxation strategies.
It is shown that a depth map having few areas of uncertainty can be obtained
from both computer and photographically generated integral images using this
approach. The acceptable depth maps can be achieved from photographic captured
integral images containing complicated object scene.
© 2007 IEEE
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