Aybat co-edits new book on computer vision applications


UNIVERSITY PARK, Pa. – Assistant Professor Necdet Serhat Aybat 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, an assistant professor in the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering, 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


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Pamela Krewson Wertz


Necdet Serhat Aybat

Necdet Serhat Aybat, assistant professor

Aybat's book cover


Necdet Serhat Aybat



Industrial and Manufacturing Engineering 



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