<p><b>A practical introduction to intelligent computer vision theory, design, implementation, and technology</b></p><p>The past decade has witnessed epic growth in image processing and intelligent computer vision technology. Advancements in machine learning methods¿especially among adaboost varieties and particle filtering methods¿have made machine learning in intelligent computer vision more accurate and reliable than ever before. The need for expert coverage of the state of the art in this burgeoning field has never been greater, and this book satisfies that need. Fully updated and extensively revised, this <i>2nd Edition </i>of the popular guide provides designers, data analysts, researchers and advanced post-graduates with a fundamental yet wholly practical introduction to intelligent computer vision. The authors walk you through the basics of computer vision, past and present, and they explore the more subtle intricacies of intelligent computer vision, with an emphasis on intellig
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