Imaging and machine vision book recommendations: 12/21
As part of ourSolutions in Vision series, we want to provide our readers with as many resources on imaging and machine vision as possible. As part of this, Andy Wilson, Vision Systems Design Editor in Chief, has compiled a list of educational and informative books on various imaging topics that he personally recommends. Check out this week’s recommendations here:
- JPEG2000 Standard for Image Compression: Concepts, Algorithms and VLSI Architectures by Tinku Acharya: Your definitive guide to state-of-the-art image compression With excellent image quality at low bit rate, progressive transmission, scalability, region-of-interest coding, random access, error resilience, and many other salient features, the JPEG2000 standard for scalable image compression is rapidly becoming the cornerstone of today’s innovative multimedia industry. Providing comprehensive and accessible coverage of the new JPEG2000 standard, this timely and authoritative text provides a clear overview of both the theory and principles behind the algorithms, and a solid foundation of multimedia compression techniques.
- Three-Dimensional Computer Vision (Artificial Intelligence)by Olivier Faugeras: This monograph by one of the world's leading vision researchers provides a thorough, mathematically rigorous exposition of a broad and vital area in computer vision: the problems and techniques related to three-dimensional (stereo) vision and motion. The emphasis is on using geometry to solve problems in stereo and motion, with examples from navigation and object recognition.
- Introductory Techniques for 3-D Computer Visionby Emanuele Trucco: Senior/Graduate level courses on computer vision, robot vision and image processing in electrical and computer engineering, mathematics, and computer science departments, and an essential reference for researchers and scientists in the field of computer vision.
- Handbook of Biometrics Kindle Editionby Anil K. Jain, Patrick Flynn, Arun A. Ross: The Handbook of Biometrics comprises chapters authored by prominent Biometric researchers describing the fundamentals and the latest innovations in their areas of expertise. This unique and timely volume is designed for researchers and advanced-level students in computer science. It is also suitable for Biometric and Computer Security professionals.
- Embedded Computer Vision (Advances in Computer Vision and Pattern Recognition) by Branislav Kisacanin, Shuvra S. Bhattacharyya, Sek Chai: This comprehensive volume brings together a wealth of experiences from leading researchers in the field of embedded computer vision, from both academic and industrial research centers, and covers a broad range of challenges and trade-offs brought about by this paradigm shift. Part I provides an exposition of basic issues and applications in the area necessary for understanding the present and future work. Part II offers chapters based on the most recent research and results.
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James Carroll
Former VSD Editor James Carroll joined the team 2013. Carroll covered machine vision and imaging from numerous angles, including application stories, industry news, market updates, and new products. In addition to writing and editing articles, Carroll managed the Innovators Awards program and webcasts.