Stan Sclaroff's Books

Visual Saliency: From Pixel-Level to Object-Level Analysis

By: Jianming Zhang,Filip Malmberg,Stan Sclaroff

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Visual Saliency: From Pixel-Level to Object-Level Analysis

By: Jianming Zhang,Filip Malmberg,Stan Sclaroff

This book provides an introduction to recent advances in theory, algorithms and application of Boolean map distance for image processing. Applications include modeling what humans find salient or prominent in an image, and then using this for guiding smart image cropping, selective image filtering, image segmentation, image matting, etc. In this book, the authors present methods for both traditional and emerging saliency computation tasks, ranging from classical low-level tasks like pixel-level saliency detection to object-level tasks such as subitizing and salient object detection. For low-level tasks, the authors focus on pixel-level image processing approaches based on efficient distance transform. For object-level tasks, the authors propose data-driven methods using deep convolutional neural networks. The book includes both empirical and theoretical studies, together with implementation details of the proposed methods. Below are the key features for different types of readers. For computer vision and image processing practitioners: Efficient algorithms based on image distance transforms for two pixel-level saliency tasks; Promising deep learning techniques for two novel object-level saliency tasks; Deep neural network model pre-training with synthetic data; Thorough deep model analysis including useful visualization techniques and generalization tests; Fully reproducible with code, models and datasets available. For researchers interested in the intersection between digital topological theories and computer vision problems: Summary of theoretic findings and analysis of Boolean map distance; Theoretic algorithmic analysis; Applications in salient object detection and eye fixation prediction. Students majoring in image processing, machine learning and computer vision: This book provides up-to-date supplementary reading material for course topics like connectivity based image processing, deep learning for image processing; Some easy-to-implement algorithms for course projects with data provided (as links in the book); Hands-on programming exercises in digital topology and deep learning.

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Page Count

138

Publisher

Springer

Published Date

ISBN 10

3030048314

ISBN 13

9783030048310

Markov Random Field Modeling in Image Analysis

By: Stan Z. Li

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Markov Random Field Modeling in Image Analysis

By: Stan Z. Li

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. The book covers the following parts essential to the subject: introduction to fundamental theories, formulations of MRF vision models, MRF parameter estimation, and optimization algorithms. 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 second edition includes the most important progress in Markov modeling in image analysis in recent years such as Markov modeling of images with "macro" patterns (e.g. the FRAME model), Markov chain Monte Carlo (MCMC) methods, reversible jump MCMC. 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.

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Page Count

338

Publisher

Springer Science & Business Media

Published Date

ISBN 10

4431670440

ISBN 13

9784431670445

Handbook of Face Recognition

By: Stan Z. Li,Anil K. Jain

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Handbook of Face Recognition

By: Stan Z. Li,Anil K. Jain

This authoritative handbook is the first to provide complete coverage of face recognition, including major established approaches, algorithms, systems, databases, evaluation methods, and applications. After a thorough introductory chapter from the editors, 15 chapters address the sub-areas and major components necessary for designing operational face recognition systems. Each chapter focuses on a specific topic, reviewing background information, reviewing up-to-date techniques, presenting results, and offering challenges and future directions." "This accessible, practical reference is an essential resource for scientists and engineers, practitioners, government officials, and students planning to work in image processing, computer vision, biometrics and security, Internet communications, computer graphics, animation, and the computer game industry."--BOOK JACKET.

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Page Count

428

Publisher

Springer Science & Business Media

Published Date

ISBN 10

038740595X

ISBN 13

9780387405957

Encyclopedia of Biometrics

I - Z.

By: Stan Z. Li

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Encyclopedia of Biometrics

I - Z.

By: Stan Z. Li

With an A–Z format, this encyclopedia provides easy access to relevant information on all aspects of biometrics. It features approximately 250 overview entries and 800 definitional entries. Each entry includes a definition, key words, list of synonyms, list of related entries, illustration(s), applications, and a bibliography. Most entries include useful literature references providing the reader with a portal to more detailed information.

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Page Count

1466

Publisher

Springer Science & Business Media

Published Date

ISBN 10

0387730028

ISBN 13

9780387730028

Visual Saliency: From Pixel-Level to Object-Level Analysis

By: Jianming Zhang,Filip Malmberg,Stan Sclaroff

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Visual Saliency: From Pixel-Level to Object-Level Analysis

By: Jianming Zhang,Filip Malmberg,Stan Sclaroff

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Page Count

138

Publisher

Springer

Published Date

ISBN 10

3030048314

ISBN 13

9783030048310

Stan

An American Story

By: Stan Gober

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Stan

An American Story

By: Stan Gober

Stan Gober is an American icon. Each Sunday afternoon over 2,000 high spirited revelers celebrate life at Stan's Seafood Restaurant on Marco Island, Florida. They include Harley riding neurologists, desperate housewives and the ubiquitous good 'ol boys who populate southwest Florida. Book includes a CD of Stan's favorite songs and jokes.

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Page Count

164

Publisher

Keller Publishing LLC

Published Date

ISBN 10

0967412862

ISBN 13

9780967412863

Book's by Stan Sclaroff

Visual Saliency: From Pixel-Level to Object-Level Analysis

Visual Saliency: From Pixel-Level to Object-Level Analysis

Markov Random Field Modeling in Image Analysis

Markov Random Field Modeling in Image Analysis

Handbook of Face Recognition

Handbook of Face Recognition

Encyclopedia of Biometrics

Encyclopedia of Biometrics

Visual Saliency: From Pixel-Level to Object-Level Analysis

Visual Saliency: From Pixel-Level to Object-Level Analysis

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