[agents] [Mycolleagues] Call for Book Chapters (Image Feature Detectors: Foundations, Innovations, and Applications) -- Deadline Extended

[Ali Ismail Awad]

Dear Colleagues, 
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Call for Book Chapters

More information can be found in: http://staff.www.ltu.se/~ ismawa/ifd/

Image Feature Detectors: Foundations, Innovations, and Applications

Aim and Scope:
Detectors of image interest points such as corner detectors, blob detectors, and edge detectors go long way back in time. Feature detectors are new model for selecting interest points in an image. Those selected points can be invariant to scale, shift, and rotation. Feature detectors have a wide scope of applications in computer vision, pattern recognition, object recognition and tracking, image retrieval and matching, classification, and video processing and mining. The most popular feature detectors encompass: Scale Invariant Feature Transform (SIFT), Speeded Up Robust Feature (SURF), and Features from Accelerated Segment Test (FAST). The principal aim of the book is to assemble an up-to-date body of knowledge documenting the major advances and key emerging trends in the feature detectors with respect to foundations, new directions, and applications. Moreover, studies which couple computational theories and algorithms with real-time applications of image features will be considered. The book covers a wide range of image features and feature detectors that find emerging application in biotechnology, industrial inspection, Internet applications, radar imaging, and object recognition. The book will cause a change to the literature on computer vision and machine learning. Besides, it is both a reference for engineers and scientists and a teaching resource by featuring survey chapters and research papers on image feature detectors. The book will provide comprehensive reviews of cutting–edge state-of-the-art algorithms, technologies, and applications, providing new insights into a range of fundamentally important topics in image processing, computer vision, and pattern recognition, which basically depend on image features and feature detectors. Topics of interest include, but are not limited to:

Foundations and Innovations    2D/3D feature detectors
    Invariant feature detectors
    Interest points detectors
    Affine region detectors
    Keypoints extraction
    Feature robustness
    Performance evaluation
    Image feature extraction
    Feature descriptors 

Applications
    Biometrics imaginary
    Medical imaginary
    Image retrieval
    Video processing
    Object tracking 

Publication Schedule:
The tentative schedule of the book publication is as follows:   
   - Deadline for chapter submission:  March 16, 2015 
   - First round notification :  April 15, 2015 
    
   - Second round submission:  April 30, 2015 
    
   - Final notification :  May 07, 2015 
    
   - Camera-ready submission :  May 15, 2015 
    
   - Publication date: Third quarter of 2015 

Submission Procedure:


Submitted chapters should conform to the standard guidelines of the Springer's book chapter format. Chapters should be prepared using Latex, Microsoft Word is not recommended , and according to the Springer's svmlt template that can be downloaded from the book website.
Prospective authors need to electronically submit their chapters using EasyChair submission system (see the book website). Submitted manuscripts will be refereed by at least two independent and expert reviewers for quality, correctness, originality, and relevance. The accepted contributions will be published as a volume in the prestigious "Studies in Computational Intelligence" series by Springer. More information about "Studies in Computational Intelligence" can be found in the (see the book website).

Book Editors:
Dr.: Ali Ismail Awad
Associate Senior Lecturer
Department of Computer Science, Electrical and Space Engineering
Luleå University of Technology
Luleå, Sweden
E-mail: ali.awad[at]ltu.se
 
Dr.: M. Hassaballah
Assistant Professor
Department of Mathematics
Faculty of Science
South Valley University
Qena, Egypt
E-mail: m.hassaballah[at]svu.edu.eg
   

  
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