Advances in Image Processing and Understanding: A Festschrift for Thomas S. Huang (Series in Machine Perception and Artifical Intelligence, Vol. 52)

This volume of original papers has been assembled to honor the achievements of Professor Thomas S Huang in the area of image processing and image analysis. Professor Huang's life of inquiry has spanned a number of decades as his work on imaging problems began in 1960's. Over these 40 years, he has made many fundamental and pioneering contributions to nearly every area of this field. Professor Huang has received numerous Awards, including the prestigious Jack Kilby Signal Processing Medal from IEEE. He has been elected to the National Academy of Engineering, and named Fellow of IEEE, Fellow of OSA, Fellow of IAPR, and Fellow of SPIE. Professor Huang has made fundamental contributions to image processing, pattern recognition, and computer vision: including design and stability test of multidimensional digital filters, digital holography; compression techniques for documents and images; 3D motion and modeling, analysis and visualization of the human face, hand and body, multi-modal human-computer interfaces; and multimedia databases. Many of his research ideas have been seminal, opening up new areas of research. Professor Huang is continuing his contribution to the field in the new millennium!This book is intended to highlight his contributions by showing the breadth of areas in which his students are working. As such, contributed chapters were written by some of his many former graduate students (some with Professor Huang as a coauthor) and illustrate not only his contributions to imaging science but also his commitment to educational endeavor. The breadth of contributions is an indication of influence of Professor Huang to the field of signal processing, image processing, computer vision and applications; the book includes chapters on learning in image retrieval, facial motion analysis, cloud motion tracking, wavelet coding, robust video transmission, and many other topics. The Appendix contains several reprints of Professor Huang's most influential papers from 1970's to 1990's. This book is directed towards image processing researchers, including academic faculty, graduate students and industry researchers, as well as toward professionals working in application areas. This volume of original papers has been assembled to honour the achievements of Professor Thomas S. Huang in the area of image processing and image analysis. Professor Huang's life of inquiry has spanned a number of decades, as his work on imaging problems began in 1960's. Over the years, he has made many fundamental and pioneering contributions to nearly every area of this field. Professor Huang has received numerous awards, including the prestigious Jack Kilby Signal Processing Medal from IEEE. He has been elected to the National Academy of Engineering, and named Fellow of IEEE, Fellow of OSA, Fellow of IAPR and Fellow of SPIE. Professor Huang has made fundamental contributions to image processing, pattern recognition and computer vision, including: design and stability test of multidimensional digital filters, digital holography; compression techniques for documents and images; 3D motion and modelling, analysis and visualization of the human face, hand and body, multi-modal human-computer interfaces; and multimedia databases. This volume is intended to highlight his contributions by showing the breadth of areas in which his students are working. As such, contributed chapters were written by some of his many former graduate students (some with Professor Huang as a co-author) and illustrate not only his contributions to imaging science but also his commitment to educational endeavour. The breadth of contributions is an indication of influence of Professor Huang to the field of signal processing, image processing, computer vision and applications; there are chapters on learning in image retrieval, facial motion analysis, cloud motion tracking, wavelet coding, robust video transmission, and many other topics. The appendix contains several reprints of Professor Huang's most influential papers from the 1970's to 1990's. This text is designed for image processing researchers, including academic faculty, graduate students and industry researchers, as well as professionals working in application areas. Annotation This volume of original papers has been assembled to honor the achievements of Professor Thomas S. Huang in the area of image processing and image analysis. Professor Huang's life of inquiry has spanned a number of decades as his work on imaging problems began in 1960's. Over these 40 years, he has made many fundamental and pioneering contributions to nearly every area of this field. Professor Huang has received numerous Awards, including the prestigious Jack Kilby Signal Processing Medal from IEEE. He has been elected to the National Academy of Engineering, and named Fellow of IEEE, Fellow of OSA, Fellow of IAPR, and Fellow of SPIE. Professor Huang has made fundamental contributions to image processing, pattern recognition, and computer vision: including design and stability test of multidimensional digital filters, digital holography; compression techniques for documents and images; 3D motion and modeling, analysis and visualization of the human face, hand and body, multi-modal human-computer interfaces; and multimedia databases. Many of his research ideas have been seminal, opening up new areas of research. Professor Huang is continuing his contribution to the field in the new millennium!This book is intended to highlight his contributions by showing the breadth of areas in which his students are working. As such, contributed chapters were written by some of his many former graduate students (some with Professor Huang as a coauthor) and illustrate not only his contributions to imaging science but also his commitment to educational endeavor. The breadth of contributions is an indication of influence of Professor Huang to the field of signal processing, image processing, computervision and applications; the book includes chapters on learning in image retrieval, facia It is well recognized that hand programming for vision, audition, and autonomous robots is extremely challenging, especially in partially unknown or complex environments.