Computer vision, the science and technology of machines that see,
has been a rapidly developing research area since the mid-1970s. It
focuses on the understanding of digital input images in many forms,
including video and 3-D range data. Graph-Based Methods in Computer
Vision: Developments and Applications presents a sampling of the
research issues related to applying graph-based methods in computer
vision. These methods have been under-utilized in the past, but use
must now be increased because of their ability to naturally and
effectively represent image models and data. This publication
explores current activity and future applications of this
fascinating and ground-breaking topic.
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