Object Detection and Recognition in Digital Images (eBook)

Theory and Practice

Boguslaw Cyganek (Autor)

eBook Download: EPUB

2013
John Wiley & Sons (Verlag)
978-1-118-61836-3 (ISBN)

Infos

Object detection, tracking and recognition in images are key problems in computer vision. This book provides the reader with a balanced treatment between the theory and practice of selected methods in these areas to make the book accessible to a range of researchers, engineers, developers and postgraduate students working in computer vision and related fields.

Key features:
• Explains the main theoretical ideas behind each method (which are augmented with a rigorous mathematical derivation of the formulas), their implementation (in C++) and demonstrated working in real applications.
• Places an emphasis on tensor and statistical based approaches within object detection and recognition.
• Provides an overview of image clustering and classification methods which includes subspace and kernel based processing, mean shift and Kalman filter, neural networks, and k-means methods.
• Contains numerous case study examples of mainly automotive applications.
• Includes a companion website hosting full C++ implementation, of topics presented in the book as a software library, and an accompanying manual to the software platform.

Boguslaw Cyganek, AGH University of Science and Technology, Poland
Dr. Cyganek has been teaching at the AGH – University of Science and Technology since 1993 and is now a Lecturer and Researcher in the Department of Electronics and Computer Science. For over 17 years he has been engaged in research in computer vision, image processing, neural networks and soft computing, whilst simultaneously designing embedded computer systems and programmable logic devices. He is a member of the IEEE, IAPR and the SIAM. He has extensive industry experience in the design and implementation of large software systems plus the design of embedded computer and vision systems, in positions of senior software engineer, lead programmer and software development manager.  He has published over 70 reviewed scientific papers in well known journals and conferences, and has previously published with Wiley: An Introduction to 3D Computer Vision Techniques and Algorithms (2009).

Autor

Boguslaw Cyganek received his M.Sc. degree in electronics in 1993, then in computer science in 1996 from the AGH University of Science and Technology, Krakow, Poland. He obtained his Ph.D. degree cum laude in 2001 with a thesis on correlation of stereo images, and D.Sc. degree in 2011 with a thesis on methods and algorithms of object recognition in digital images. During the recent years, Dr. Boguslaw Cyganek has been cooperating with many scientific centers in development of computer vision systems. He has also gained several years of practical experience working as a Software Development Manager and a Senior Software Engineer both in the USA and Poland. He is currently a researcher and lecturer at the Department of Electronics, AGH University of Science and Technology. His research interests include computer vision, pattern recognition, as well as development of programmable devices and embedded systems. He is an author or a co-author of over eighty conference and journal papers and four books including An Introduction to 3D Computer Vision Techniques and Algorithms published by Wiley. Dr. Cyganek is a member of the IEEE, IAPR and SIAM.

Produkt-Details

• Erscheint lt. Verlag: 20.5.2013
• Sprache: englisch
• Themenwelt: Naturwissenschaften ► Chemie
• Themenwelt: Naturwissenschaften ► Geowissenschaften ► Mineralogie / Paläontologie
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Themenwelt: Technik ► Nachrichtentechnik
• Schlagworte: Bildgebende Systeme u. Verfahren • Computer Engineering • Computertechnik • computer vision • Digitale Signalverarbeitung • Electrical & Electronics Engineering • Elektrotechnik u. Elektronik • Imaging Systems & Technology • Maschinelles Sehen • Objekterkennung • skin detection, face detection, pedestrian detection, road signs recognition, hand gesture recognition, blind people navigation, traffic surveillance, computer vision, object recognition, digital image recognition, machine vision
• ISBN-10: 1-118-61836-X / 111861836X
• ISBN-13: 978-1-118-61836-3 / 9781118618363