ABUSE FORM
Emerging Topics in Computer Vision (IMSC Press Multimedia Series)
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rissvann
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18 Oct 2008 16:24:00
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Gerard Medioni, Sing Bing Kang, "Emerging Topics in Computer Vision (IMSC Press Multimedia Series)"
Prentice Hall PTR | 688 Pages | 2004-07-31 | ISBN: 0131013661 | English | PDF | 9.30 MB
Book Description
| “ | This is a good book as long as you realize it is intended to be a supplement to a good basic text on the topic of computer vision and not a textbook itself. As such, it is not a good source of algorithms. Instead, it takes a high level approach and discusses topics that computer vision textbooks don't have room to include. This is not to say that the book is page after page of narrative with no instruction on specific steps whatsoever. It is just not full of the matrices, transforms, and algorithms you would expect in a textbook on the subject. For example, when this book discusses using a neural network for some computer vision task, it is assumed you already know how to set up a neural network to solve a problem via MATLAB or some alternate method and that you know what kind of problems neural networks can aid in solving, where a computer vision textbook would likely go over the subject and science of neural networks separate from the specific concern of computer vision. The book is organized into three parts, covering various fundamentals, applications, and programming aspects of computer vision. Part I, "Fundamentals In Computer Vision," consists of four chapters. Two of the chapters deal with the more conventional but still popular areas: camera calibration and multiview geometry. They deal with the most fundamental operations associated with vision. The chapter on robust estimation techniques will be very useful for researchers and practitioners of computer vision alike. There is also a chapter on a more recently developed tool, the tensor voting framework, that can be customized for a variety of problems. Part II, "Applications In Computer Vision," describes a variety of interesting applications in computer vision, ranging from the more traditional fields of content-based image retrieval, face detection, and human tracking to more graphics-oriented areas of interest such as image-based lighting and visual effects. Chapter 6 describes how scenes and objects can be illuminated using images of light from the real world. While this operation, also known as image-based lighting, has its roots in computer graphics, it requires computer vision techniques to extract high dynamic range images and resample the captured light. Many of the special effects seen in movies rely on computer vision techniques to facilitate their production. Chapter 7 describes some vision techniques that have been used successfully in the movie industry. A natural extension to current text-based search engines would be image retrieval. Chapter 8 presents a survey on the theory and techniques for content-based image retrieval. The issues covered include interactive query formulation, image feature extraction, representation and indexing, search techniques, and learning based on feedback. Chapter 9 describes techniques for face detection, alignment, and recognition. They show how the difficult problems of changing head pose and different illumination can be handled. Chapter 10 describes perceptual interfaces, which involve the use of multiple perceptual modalities such as vision, speech, and haptic to enable human-machine interaction. The authors motivate the need for such a study and discuss issues related to vision-based interfaces. One of the more overlooked areas in computer vision is the programming aspect of computer vision. While generic commercial packages can be used, there exist popular libraries or packages that are specifically geared for computer vision. Part III, "Programming For Computer Vision," describes two different approaches to facilitate programming for computer vision. This section gives very good detailed instructions on installing and using the open source packages described. The following is the book's detailed table of contents. | ” |
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