Cover: Detail from the mosaic of Ulysses offering wine to
Polyphemus,
Villa Romana del Casale, Sicily. Photograph ©
J. Paul Getty Trust.
Sample Chapters:
Table of Contents
Preface
Object Recognition in the Geometric Era: a Retrospective
Dataset Issues in Object Recognition
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TOWARD CATEGORY-LEVEL
OBJECT RECOGNITION
Springer-Verlag LNCS Vol. 4170, 2006.
!! JUST OUT !!
This book is the outcome of two workshops that brought together about
40 prominent vision and machine learning researchers interested in the
fundamental and applicative aspects of object recognition, as well as
representatives of industry. The main goals of these two workshops
were (1) to promote the creation of an international object
recognition community, with common datasets and evaluation procedures,
(2) to map the state of the art and identify the main open problems
and opportunities for synergistic research, and (3) to articulate the
industrial and societal needs and opportunities for object recognition
research worldwide. These goals are reflected in a relatively small
number of papers that illustrate the breadth of today’s object
recognition research and the arsenal of techniques at its disposal,
and discuss current achievements and outstanding challenges. Most of
the chapters are descriptions of technical approaches, intended to
capture the current state of the art. Some of the chapters are of a
tutorial nature. They cover fundamental building blocks for object
recognition techniques.
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