Computer Vision in Control Systems-4 (eBook, PDF)

Real Life Applications
Redaktion: Favorskaya, Margarita N.; Jain, Lakhmi C.

• Format: PDF

Produktbeschreibung

The research book is a continuation of the authors' previous works, which are focused on recent advances in computer vision methodologies and technical solutions using conventional and intelligent paradigms.

The book gathers selected contributions addressing a number of real-life applications including the identification of handwritten texts, watermarking techniques, simultaneous localization and mapping for mobile robots, motion control systems for mobile robots, analysis of indoor human activity, facial image quality assessment, android device controlling, processing medical images, clinical decision-making and foot progression angle detection.

Given the tremendous interest among researchers in the development and applications of computer vision paradigms in the field of business, engineering, medicine, security and aviation, the book offers a timely guide for all PhD students, professors, researchers and software developers working in the areas of digital video

processing and computer vision technologies.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 317
• Erscheinungstermin: 25. Oktober 2017
• Englisch
• ISBN-13: 9783319679945
• Artikelnr.: 52935488

Inhaltsangabe

Innovative Algorithms in Computer Vision.- Graphological Analysis and Identification of Handwritten Texts.- Perceptually Tuned Watermarking Using Non-Subsampled Shearlet Transform.- Unscented RGB-D SLAM in Indoor Environment.- Development of Fast Parallel Algorithms Based on Visual and Audio Information in Motion Control Systems of Mobile.- Methods and Algorithms of Audio-Video Signal Processing for Analysis of Indoor Human Activity.- Improving Audience Analysis System Using Face Image Quality Assessment.- Real Time Eye Blink Detection Method for Android Device Controlling.- Techniques for Medical Images Processing Using Shearlet Transform and Color Coding.- Image Analysis in Clinical Decision Support System.- A Novel Foot Progression Angle Detection Method.