UNIVERSITY PARK, Pa. — Necdet Serhat Aybat, an assistant professor in the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering at Penn State, is one of three editors of a new book that provides a framework for computer vision applications, including image processing and video surveillance.
"Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing," published by CRC Press, LLC, describes methods and algorithms that can be used to tackle different formulations based on robust low-rank and sparse matrix decompositions.
The book features contributions from leading researchers from around the world who provide a complete overview of the concepts, theories, algorithms and applications. The text incorporates both existing and new ideas to give the reader access to a number of different decompositions, algorithms, implementations and benchmarking techniques in the field.
The handbook is designed for researchers, developers and graduate students in computer vision, image and video processing, real-time architecture, machine learning and data mining.
Along with Aybat, the book is co-edited by Thierry Bouwmans and El-hadi Zahzah, both associate professors at the University of La Rochelle, France.
Click here for more information or to order the book. Demos, datasets and codes are available on a supplementary website.