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OverviewFull Product DetailsAuthor: Qiang Ji (Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, New York, USA)Publisher: Elsevier Science Publishing Co Inc Imprint: Academic Press Inc Weight: 0.770kg ISBN: 9780128034675ISBN 10: 012803467 Pages: 294 Publication Date: 13 December 2019 Audience: College/higher education , Tertiary & Higher Education Format: Hardback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsReviewsThe book describes probabilistic graphical models in application to computer vision tasks. The theoretical concepts are accompanied by illustrative figures and algorithms in pseudocode. All the main categories of models are referred to. The applications range from image denoising and segmentation, object detection and tracking to 3D reconstruction and action recognition. It is a book that is valuable for theoreticians and practitioners alike. --zbMath/European Mathematical Society and the Heidelberg Academy of Sciences and Humanities """The book describes probabilistic graphical models in application to computer vision tasks. The theoretical concepts are accompanied by illustrative figures and algorithms in pseudocode. All the main categories of models are referred to. The applications range from image denoising and segmentation, object detection and tracking to 3D reconstruction and action recognition. It is a book that is valuable for theoreticians and practitioners alike."" --zbMath/European Mathematical Society and the Heidelberg Academy of Sciences and Humanities" ""The book describes probabilistic graphical models in application to computer vision tasks. The theoretical concepts are accompanied by illustrative figures and algorithms in pseudocode. All the main categories of models are referred to. The applications range from image denoising and segmentation, object detection and tracking to 3D reconstruction and action recognition. It is a book that is valuable for theoreticians and practitioners alike."" --zbMath/European Mathematical Society and the Heidelberg Academy of Sciences and Humanities Author InformationQiang Ji is in the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute, New York, USA Tab Content 6Author Website:Countries AvailableAll regions |
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