Object Categorization presents foundations, original research and
trends in the field of object categorization by computer vision
methods. It provides a review of existing representations,
algorithms, systems and databases for visual object categorization.
It goes beyond a pure review of the area though, by including
original research in categorization, presenting a prototype system
for categorization, discussing the various databases and providing
experimental results on object categorization and localization in
still images. Object Categorization will serve as a valuable
reference for students and graduate students in computer vision,
providing a thorough review of the state of the art in visual
object categorization. Researchers in computer vision will benefit
from a more complete point of view, including a number of
approaches which they may not have focused on within the scope of
their own research. The book will also be of interest to
researchers from related fields who have an interest in visual
processing.
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