This book provides current research on computer vision and
simulation. Chapter One studies and compares the representation
capability of several different layers in convolutional neural
network (CNN) showing that they contain more accurate information
about the face image than to believe. Chapter Two finds,
empirically, the best methods for describing a given texture using
an ensemble to harness the discriminative power of different
texture approaches. Chapter Three provides a computer study of the
interaction of mercury with graphene. Chapter Four discusses the
influence of yttrium(III) ion on calcium(II) and zinc(II)
biospeciation in human blood plasma by computer simulation. Chapter
Five reviews the simualation of diffraction gratings in the Fresnel
diffraction regime using the ab-initio iterative Fresnel Integral
Method (IFIM). Chapter Six introduces an example of a simple visual
feedback control system of a mobile robot with an axis-symmetric
shape for mechatronics education.
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