Computer Vision & Simulation

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.