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Handbook of Mathematical Models in Computer Vision (Hardcover, 2006 ed.)
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Handbook of Mathematical Models in Computer Vision (Hardcover, 2006 ed.)
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Abstract Biological vision is a rather fascinating domain of
research. Scientists of various origins like biology, medicine,
neurophysiology, engineering, math ematics, etc. aim to understand
the processes leading to visual perception process and at
reproducing such systems. Understanding the environment is most of
the time done through visual perception which appears to be one of
the most fundamental sensory abilities in humans and therefore a
significant amount of research effort has been dedicated towards
modelling and repro ducing human visual abilities. Mathematical
methods play a central role in this endeavour. Introduction David
Marr's theory v DEGREESas a pioneering step tov DEGREESards
understanding visual percep tion. In his view human vision was
based on a complete surface reconstruction of the environment that
was then used to address visual subtasks. This approach was proven
to be insufficient by neuro-biologists and complementary ideas from
statistical pattern recognition and artificial intelligence were
introduced to bet ter address the visual perception problem. In
this framework visual perception is represented by a set of actions
and rules connecting these actions. The emerg ing concept of active
vision consists of a selective visual perception paradigm that is
basically equivalent to recovering from the environment the minimal
piece information required to address a particular task of
interest."
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