Call for Book Chapters staff.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: December 15, 2014 First round notification : February 2, 2015 Second round submission: February 16, 2015 Final notification : March 1, 2015 Camera-ready submission : March 15, 2015 Publication date: Second quarter of 2015 Submission Procedure: Submitted chapters should conform to the standard guidelines of the Springers book chapter format. Chapters should be prepared using Latex, Microsoft Word is not recommended , and according to the Springers 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). Volume 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
Posted on: Sun, 06 Jul 2014 06:57:34 +0000
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