Download or read book A New Similarity Measurement For Face Recognition written by Kadhim M Hashim and published by . This book was released on 2020-06 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces proposed new standards between digital images, which recorded the best results for the similarity between two images, although the images were exposed to a large amount of noise, and a peak signal to noise scale )PSNR)was used. The reference to noise as a measure of the noise ratio in the image processing and computer vision measuring image similarity among the two images becomes a fundamental case in many problems. In recent years, many images of similarity measures were proposed, most of them work with very particular kind of image distortions. Some of them are viable to a wider range of applications such as the structural similarity measure (SSIM) index. This chapter presents an introduction to image similarity, similarity methods and explains the most related works in detail; also it presents a literature survey for image similarity measures.
Download or read book Similarity Measures for Face Recognition written by Enrico Vezzetti and published by Bentham Science Publishers. This book was released on 2015-04-27 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: Face recognition has several applications, including security, such as (authentication and identification of device users and criminal suspects), and in medicine (corrective surgery and diagnosis). Facial recognition programs rely on algorithms that can compare and compute the similarity between two sets of images. This eBook explains some of the similarity measures used in facial recognition systems in a single volume. Readers will learn about various measures including Minkowski distances, Mahalanobis distances, Hansdorff distances, cosine-based distances, among other methods. The book also summarizes errors that may occur in face recognition methods. Computer scientists "facing face" and looking to select and test different methods of computing similarities will benefit from this book. The book is also useful tool for students undertaking computer vision courses.
Download or read book Computer Vision ACCV 2010 written by Ron Kimmel and published by Springer. This book was released on 2011-02-28 with total page 747 pages. Available in PDF, EPUB and Kindle. Book excerpt: The four-volume set LNCS 6492-6495 constitutes the thoroughly refereed post-proceedings of the 10th Asian Conference on Computer Vision, ACCV 2009, held in Queenstown, New Zealand in November 2010. All together the four volumes present 206 revised papers selected from a total of 739 Submissions. All current issues in computer vision are addressed ranging from algorithms that attempt to automatically understand the content of images, optical methods coupled with computational techniques that enhance and improve images, and capturing and analyzing the world's geometry while preparing the higher level image and shape understanding. Novel geometry techniques, statistical learning methods, and modern algebraic procedures are dealt with as well.
Download or read book Image Fusion written by H.B. Mitchell and published by Springer Science & Business Media. This book was released on 2010-03-16 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to provide a practical introduction to the th- ries, techniques and applications of image fusion. The present work has been designed as a textbook for a one-semester ?nal-year undergraduate, or ?r- year graduate, course in image fusion. It should also be useful to practising engineers who wish to learn the concepts of image fusion and apply them to practical applications. In addition, the book may also be used as a supp- mentary text for a graduate course on topics in advanced image processing. The book complements the author’s previous work on multi-sensor data [1] fusion by concentrating exclusively on the theories, techniques and app- cations of image fusion. The book is intended to be self-contained in so far as the subject of image fusion is concerned, although some prior exposure to the ?eld of computer vision and image processing may be helpful to the reader. Apart from two preliminary chapters, the book is divided into three parts.
Download or read book A New Approach to Face Recognition Based on Generalized Hough Transform and Local Image Descriptors written by Marian Moise and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Cross Disciplinary Biometric Systems written by Chengjun Liu and published by Springer Science & Business Media. This book was released on 2012-04-18 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cross disciplinary biometric systems help boost the performance of the conventional systems. Not only is the recognition accuracy significantly improved, but also the robustness of the systems is greatly enhanced in the challenging environments, such as varying illumination conditions. By leveraging the cross disciplinary technologies, face recognition systems, fingerprint recognition systems, iris recognition systems, as well as image search systems all benefit in terms of recognition performance. Take face recognition for an example, which is not only the most natural way human beings recognize the identity of each other, but also the least privacy-intrusive means because people show their face publicly every day. Face recognition systems display superb performance when they capitalize on the innovative ideas across color science, mathematics, and computer science (e.g., pattern recognition, machine learning, and image processing). The novel ideas lead to the development of new color models and effective color features in color science; innovative features from wavelets and statistics, and new kernel methods and novel kernel models in mathematics; new discriminant analysis frameworks, novel similarity measures, and new image analysis methods, such as fusing multiple image features from frequency domain, spatial domain, and color domain in computer science; as well as system design, new strategies for system integration, and different fusion strategies, such as the feature level fusion, decision level fusion, and new fusion strategies with novel similarity measures.
Download or read book A New Similarity Measure Based on Falsity Value between Single Valued Neutrosophic Sets Based on the Centroid Points of Transformed Single Valued Neutrosophic Numbers with Applications to Pattern Recognition written by Memet Sahin and published by Infinite Study. This book was released on with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper, we propose some transformations based on the centroid points between single valued neutrosophic numbers. We introduce these transformations according to truth, indeterminacy and falsity value of single valued neutrosophic numbers. We propose a new similarity measure based on falsity value between single valued neutrosophic sets.
Download or read book Human Recognition of Faces Across Changing Contexts is Independent of Image Similarity written by Danelle Alexis Wilbraham and published by . This book was released on 2005 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: Faces are important stimuli because they are critical for functioning in our social world. Namely, the face is the only reliably exposed body part that can be used to distinguish one person from another, and facial expressions convey emotions that facilitate social interaction. When studying faces as a vision scientist, one way to conceptualize face recognition is to think of faces as a specific class of object. Unlike other objects, faces are recognized on a subordinate level, where the primary task is to distinguish face A from face B. With other objects, the primary task is to distinguish among different classes of objects (e.g. cups vs. chairs). However, faces and other objects share the property of being three dimensional, and thus subject to an infinite number of viewing directions in addition to the multitudes of illumination conditions that might be presented. Two general classes of recognition models have emerged in the object recognition literature and are also applicable to face recognition. Models in the first class are typically based on features of some sort and rely on object-centered representations. The observer is conceptualized as a "feature extractor," extracting namable features from the image that are used to construct a single, generalizable representation of the object. The second class includes models that are based on properties of the image and rely on viewer-centered representations. These models characterize the observer as a "pixel pattern comparator," and posit many stored representations for each object. Many of the feature-based models in the object recognition literature rely on properties such as parallelism and co-termination, which are not useful in describing faces. Therefore, for the most part, models in the face recognition literature take a more image-based approach. One major difficulty with the research area is that studies claiming to provide psychophysical support for an image-based conception of human face recognition fail to measure the image differences. Because of this lack of control, it is impossible to ensure that the changes in the images themselves are independent of the judgments being made by the observers. The present study aimed to correct this problem by measuring the image differences and using these differences to construct conditions that, under an image-based regime, would facilitate or impair the ability to perform and identity judgment. Observers saw a face followed by two alternative faces and their task was simply to indicate which of the two alternatives shared the same identity as the first face. These alternatives could have a changed expression or a change in illumination conditions. In one condition, the match and the incorrect alternative (the foil) shared the same degree of image similarity with the sample. In the facilitating condition, the correct match was more similar to the sample face than was the foil. The impairment condition had matches that were less similar to the sample than the foil. If only the pixel intensity information is being used, one would predict good performance in the facilitation condition, and increasingly poor performance in the equal similarity and impairment conditions. Results showed that the manipulation of the image similarity had no appreciable effect on human performance. An image-based algorithm was trained to perform the same task and though it performed better than was predicted, the results did not correlate well with human performance. In light of these results, I conclude that popular approaches to face recognition are not sufficient descriptors of human face recognition, and suggest further research to confirm this conclusion. Alternative models and supporting data are also discussed.
Download or read book Computational Science and Its Applications ICCSA 2013 written by Beniamino Murgante and published by Springer. This book was released on 2013-06-22 with total page 743 pages. Available in PDF, EPUB and Kindle. Book excerpt: The five-volume set LNCS 7971-7975 constitutes the refereed proceedings of the 13th International Conference on Computational Science and Its Applications, ICCSA 2013, held in Ho Chi Minh City, Vietnam, in June 2013. Apart from the general track, ICCSA 2013 also include 33 special sessions and workshops, in various areas of computational sciences, ranging from computational science technologies, to specific areas of computational sciences, such as computer graphics and virtual reality. There are 46 papers from the general track, and 202 in special sessions and workshops.
Download or read book Emerging Research in Computing Information Communication and Applications written by N. R. Shetty and published by Springer. This book was released on 2017-11-15 with total page 744 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of International Conference on Emerging Research in Computing, Information, Communication and Applications, ERCICA 2016. ERCICA provides an interdisciplinary forum for researchers, professional engineers and scientists, educators, and technologists to discuss, debate and promote research and technology in the upcoming areas of computing, information, communication and their applications. The book discusses these emerging research areas, providing a valuable resource for researchers and practicing engineers alike.
Download or read book Biometric Recognition written by Zhenan Sun and published by Springer Science & Business Media. This book was released on 2011-11-14 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th Chinese Conference on Biometric Recognition, CCBR 2011, held in Beijing, China in December 2011. The 35 revised full papers were carefully reviewed and selected from 71 submissions. The papers are organized in topical sections on problems in face; iris; hand biometrics; speaker; handwriting; gait; behavioral and soft biometrics; and security.
Download or read book Advances in Visual Information Systems written by Guoping Qiu and published by Springer. This book was released on 2007-11-18 with total page 595 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the 9th International Conference on Visual Information Systems, VISUAL 2007, held in Shanghai, China, in June 2007. The papers are organized in topical section on image and video retrieval, visual biometrics, intelligent visual information processing, visual data mining, ubiquitous and mobile visual information systems, semantics, 2D/3D graphical visual data retrieval, and applications of visual information systems.
Download or read book Facial Kinship Verification written by Haibin Yan and published by Springer. This book was released on 2017-05-31 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the first systematic study of facial kinship verification, a new research topic in biometrics. It presents three key aspects of facial kinship verification: 1) feature learning for kinship verification, 2) metric learning for kinship verification, and 3) video-based kinship verification, and reviews state-of-the-art research findings on facial kinship verification. Many of the feature-learning and metric-learning methods presented in this book can also be easily applied for other face analysis tasks, e.g., face recognition, facial expression recognition, facial age estimation and gender classification. Further, it is a valuable resource for researchers working on other computer vision and pattern recognition topics such as feature-learning-based and metric-learning-based visual analysis.
Download or read book Information Modelling and Knowledge Bases XXXIV written by M. Tropmann-Frick and published by IOS Press. This book was released on 2023-02-07 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: The amount and complexity of information is continually growing, and information modeling and knowledge bases have become important contributors to technology and to academic and industrial research in the 21st century. They address the complexities of modeling in digital transformation and digital innovation, reaching beyond the traditional borders of information systems and academic computer-science research. This book presents the proceedings of EJC 2022, the 32nd International conference on Information Modeling and Knowledge Bases, held as a hybrid event due to restrictions related to the Corona virus pandemic in Hamburg, Germany, from 30 May to 3 June 2022. The aim of the conference is to bring together experts from different areas of computer science and other disciplines with a common interest in understanding and solving the problems of information modeling and knowledge bases and applying the results of research to practice. The conference has always been open to new topics related to its main themes, and the content emphasis of the conferences have changed through the years according to developments in the research field, so philosophy and logic, cognitive science, knowledge management, linguistics, and management science, as well as machine learning and AI, are also relevant areas. This book presents 19 reviewed and selected papers covering a wide range of topics, upgraded as a result of comments and discussions during the conference. Providing a current overview of recent developments, the book will be of interest to all those using information modeling and knowledge bases as part of their work.
Download or read book Digital Image Computing Techniques and Applications written by Changming Sun and published by CSIRO PUBLISHING. This book was released on 2003-12-01 with total page 916 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital Image Computing: Techniques and Applications is the premier biennial conference in Australia on the topics of image processing and image analysis. This seventh edition of the proceedings has seen an unprecedented level of submission, on such diverse areas as: Image processing; Face recognition; Segmentation; Registration; Motion analysis; Medical imaging; Object recognition; Virtual environments; Graphics; Stereo-vision; and Video analysis. These two volumes contain all the 108 accepted papers and five invited talks that were presented at the conference. These two volumes provide the Australian and international imaging research community with a snapshot of current theoretical and practical developments in these areas. They are of value to any engineer, computer scientist, mathematician, statistician or student interested in these matters.
Download or read book Image and Video Retrieval written by Michael S. Lew and published by Springer. This book was released on 2003-08-02 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the International Conference on Image and Video Retrieval, CIVR 2002, held in London, UK, in July 2002. The 30 revised full papers presented together with an introduction by the volume editors were carefully reviewed and selected from 82 submissions. The papers are organized in topical sections on image retrieval, modeling, feature-based retrieval, semantics and learning, video retrieval, and evaluation and benchmarking.
Download or read book Reliable Face Recognition Methods written by Harry Wechsler and published by Springer Science & Business Media. This book was released on 2009-04-05 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book seeks to comprehensively address the face recognition problem while gaining new insights from complementary fields of endeavor. These include neurosciences, statistics, signal and image processing, computer vision, machine learning and data mining. The book examines the evolution of research surrounding the field to date, explores new directions, and offers specific guidance on the most promising venues for future research and development. The book’s focused approach and its clarity of presentation make this an excellent reference work.
