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Book
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Publication
"The level set method is popular in the numerical implementation of curve evolution, but its high computational cost is a bottleneck for real-time applications. In this report...
CVPR
2009
IEEE
15 years 5 months ago
2009
IEEE
Given a single image of an arbitrary road, that may not
be well-paved, or have clearly delineated edges, or some
a priori known color or texture distribution, is it possible
for...
CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
We present a new approach to iteratively estimate both
high-quality depth map and alpha matte from a single image
or a video sequence. Scene depth, which is invariant
to illumin...
CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
Most modern computer vision systems for high-level
tasks, such as image classification, object recognition and
segmentation, are based on learning algorithms that are
able to se...