The design and construction of three-dimensional 3-D] object
recognition systems has long occupied the attention of many
computer vision researchers. The variety of systems that have been
developed for this task is evidence both of its strong appeal to
researchers and its applicability to modern manufacturing,
industrial, military, and consumer environments. 3-D object
recognition is of interest to scientists and engineers in several
different disciplines due to both a desire to endow computers with
robust visual capabilities, and the wide applications which would
benefit from mature and robust vision systems. However, 3-D object
recognition is a very complex problem, and few systems have been
developed for actual production use; most existing systems have
been developed for experimental use by researchers only. This
edited collection of papers summarizes the state of the art in 3-D
object recognition using examples of existing 3-D systems developed
by leading researchers in the field. While most chapters describe a
complete object recognition system, chapters on biological vision,
sensing, and early processing are also included. The volume will
serve as a valuable reference source for readers who are involved
in implementing model-based object recognition systems, stimulating
the cross-fertilisation of ideas in the various domains.
The variety of topics on Image Communication is so broad that no
one can be a specialist in all the topics, and the whole area is
beyond the scope of a single volume, while the requirement of up to
date information is ever increasing. This new closed-end book
series is intended both as a comprehensive reference for those
already active in the area of Image Communication, as well as
providing newcomers with a foothold for commencing research. Each
volume will comprise a state of the art work on the
editor's/author's area of expertise, containing information until
now scattered in many journals and proceedings.
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