Description: Markov Random Field Modeling in Image Analysis by Stan Z. Li 9781848002784 Markov Random Field Modeling in Image Analysis - Advances in Computer Vision and Pattern Recognition by Stan Z. Li It has many pages of technical information for professional and engineer, very charming book The book is a great reference resource for technical research. Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms systematically when used with optimization principles. This book presents a comprehensive study on the use of MRFs for solving computer vision problems. Various vision models are presented in a unified framework, including image restoration and reconstruction, edge and region segmentation, texture, stereo and motion, object matching and recognition, and pose estimation. This third edition includes the most recent advances and has new and expanded sections on topics such as: Bayesian Network; Discriminative Random Fields; Strong Random Fields; Spatial-Temporal Models; Learning MRF for Classification. This book is an excellent reference for researchers working in computer vision, image processing, statistical pattern recognition and applications of MRFs. It is also suitable as a text for advanced courses in these areas. Copyright 2009 Pages: 357 pages Publisher: Springer The book measures approx. 9 ½ by 7 inches. The hardcover is good with some light wear and scuffing. The spine end is good with some light wear and creasing. The boards and corners are good with light wear and denting. The hinges and binding are tight and strong. The pages are good, no marks or writing in text, book is nice. Shipping weight is 5 pounds Inventory: DF5324EC
Price: 52.49 USD
Location: Montgomeryville, Pennsylvania
End Time: 2025-01-05T16:40:17.000Z
Shipping Cost: 6.88 USD
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Topic: Engineering
Subject: Science & Medicine
