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This book describes active illumination techniques in computer vision. We can classify computer vision techniques into two classes: passive and active techniques. Passive techniques observe the scene statically and analyse it as is. Active techniques give the scene some actions and try to facilitate the analysis. In particular, active illumination techniques project specific light, for which the characteristics are known beforehand, to a target scene to enable stable and accurate analysis of the scene. Traditional passive techniques have a fundamental limitation. The external world surrounding us is three-dimensional; the image projected on a retina or an imaging device is two-dimensional. That is, reduction of one dimension has occurred. Active illumination techniques compensate for the dimensional reduction by actively controlling the illumination. The demand for reliable vision sensors is rapidly increasing in many application areas, such as robotics and medical image analysis. This book explains this new endeavour to explore the augmentation of reduced dimensions in computer vision. This book consists of three parts: basic concepts, techniques, and applications. The first part explains the basic concepts for understanding active illumination techniques. In particular, the basic concepts of optics are explained so that researchers and engineers outside the field can understand the later chapters. The second part explains currently available active illumination techniques, covering many techniques developed by the authors. The final part shows how such active illumination techniques can be applied to various domains, describing the issue to be overcome by active illumination techniques and the advantages of using these techniques. This book is primarily aimed at 4th year undergraduate and 1st year graduate students, and will also help engineers from fields beyond computer vision to use active illumination techniques. Additionally, the book is suitable as course material for technical seminars.
This book describes active illumination techniques in computer vision. We can classify computer vision techniques into two classes: passive and active techniques. Passive techniques observe the scene statically and analyse it as is. Active techniques give the scene some actions and try to facilitate the analysis. In particular, active illumination techniques project specific light, for which the characteristics are known beforehand, to a target scene to enable stable and accurate analysis of the scene. Traditional passive techniques have a fundamental limitation. The external world surrounding us is three-dimensional; the image projected on a retina or an imaging device is two-dimensional. That is, reduction of one dimension has occurred. Active illumination techniques compensate for the dimensional reduction by actively controlling the illumination. The demand for reliable vision sensors is rapidly increasing in many application areas, such as robotics and medical image analysis. This book explains this new endeavour to explore the augmentation of reduced dimensions in computer vision. This book consists of three parts: basic concepts, techniques, and applications. The first part explains the basic concepts for understanding active illumination techniques. In particular, the basic concepts of optics are explained so that researchers and engineers outside the field can understand the later chapters. The second part explains currently available active illumination techniques, covering many techniques developed by the authors. The final part shows how such active illumination techniques can be applied to various domains, describing the issue to be overcome by active illumination techniques and the advantages of using these techniques. This book is primarily aimed at 4th year undergraduate and 1st year graduate students, and will also help engineers from fields beyond computer vision to use active illumination techniques. Additionally, the book is suitable as course material for technical seminars.
Cholesterol is essential for normal cellular function. It is found in all cells of the body and is a major constituent of cell membranes. In addition, certain specialized tissues use cholesterol as the basic substrate for the synthesis of more complicated sterols such as bile acids and the steroid hormones. Like most lipids cholesterol has a very low solubility in water. Therefore, in order for these molecules to be transported be tween different organs of the body a series of lipid carriers known as lipoproteins has evolved. Over the last several years epidemiological evidence has accumulated suggest ing a strong relationship between the risk of atherosclerosis and high plasma concen trations of one of these lipoproteins, low density lipoprotein (LDL) 1). Thus, in popula tions with high plasma concentrations of LDL-cholesterol a correspondingly high incidence of vascular disease is seen. Since it has been demonstrated that reducing the steady-state plasma LDL-cholesterol concentration produces a proportional decrease in the risk of developing atherosclerosis 2), a major effort is now underway to develop safe and effective lipid lowering agents. In the past, these efforts have been hampered by a lack of knowledge concerning the physiological regulation of the plasma LDL-cholesterol concentration. However, recently there have been several major advances in these areas and it is now possible to precisely determine those factors that have the greatest effect on either increasing or decreasing the plasma LDL-cholesterol concentration."
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