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This book describes the fundamental building-block of many new
computer vision systems: dense and robust correspondence
estimation. Dense correspondence estimation techniques are now
successfully being used to solve a wide range of computer vision
problems, very different from the traditional applications such
techniques were originally developed to solve. This book introduces
the techniques used for establishing correspondences between
challenging image pairs, the novel features used to make these
techniques robust, and the many problems dense correspondences are
now being used to solve. The book provides information to anyone
attempting to utilize dense correspondences in order to solve new
or existing computer vision problems. The editors describe how to
solve many computer vision problems by using dense correspondence
estimation. Finally, it surveys resources, code and data, necessary
for expediting the development of effective correspondence-based
computer vision systems.
This book describes the fundamental building-block of many new
computer vision systems: dense and robust correspondence
estimation. Dense correspondence estimation techniques are now
successfully being used to solve a wide range of computer vision
problems, very different from the traditional applications such
techniques were originally developed to solve. This book introduces
the techniques used for establishing correspondences between
challenging image pairs, the novel features used to make these
techniques robust, and the many problems dense correspondences are
now being used to solve. The book provides information to anyone
attempting to utilize dense correspondences in order to solve new
or existing computer vision problems. The editors describe how to
solve many computer vision problems by using dense correspondence
estimation. Finally, it surveys resources, code and data, necessary
for expediting the development of effective correspondence-based
computer vision systems.
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