Spatial Domain Representation for Face Recognition
Title | Spatial Domain Representation for Face Recognition PDF eBook |
Author | Toshanlal Meenpal |
Publisher | |
Pages | 0 |
Release | 2019 |
Genre | Electronic books |
ISBN |
Spatial domain representation for face recognition characterizes extracted spatial facial features for face recognition. This chapter provides a complete understanding of well-known and some recently explored spatial domain representations for face recognition. Over last two decades, scale-invariant feature transform (SIFT), histogram of oriented gradients (HOG) and local binary patterns (LBP) have emerged as promising spatial feature extraction techniques for face recognition. SIFT and HOG are effective techniques for face recognition dealing with different scales, rotation, and illumination. LBP is texture based analysis effective for extracting texture information of face. Other relevant spatial domain representations are spatial pyramid learning (SPLE), linear phase quantization (LPQ), variants of LBP such as improved local binary pattern (ILBP), compound local binary pattern (CLBP), local ternary pattern (LTP), three-patch local binary patterns (TPLBP), four-patch local binary patterns (FPLBP). These representations are improved versions of SIFT and LBP and have improved results for face recognition. A detailed analysis of these methods, basic results for face recognition and possible applications are presented in this chapter.
Spatial Filter Representation of Orientation, Expression, and Gender in Face Recognition
Title | Spatial Filter Representation of Orientation, Expression, and Gender in Face Recognition PDF eBook |
Author | Peter Kaloscai |
Publisher | |
Pages | 53 |
Release | 1996 |
Genre | Face perception |
ISBN |
Visual Object Tracking with Deep Neural Networks
Title | Visual Object Tracking with Deep Neural Networks PDF eBook |
Author | Pier Luigi Mazzeo |
Publisher | BoD – Books on Demand |
Pages | 208 |
Release | 2019-12-18 |
Genre | Computers |
ISBN | 1789851572 |
Visual object tracking (VOT) and face recognition (FR) are essential tasks in computer vision with various real-world applications including human-computer interaction, autonomous vehicles, robotics, motion-based recognition, video indexing, surveillance and security. This book presents the state-of-the-art and new algorithms, methods, and systems of these research fields by using deep learning. It is organized into nine chapters across three sections. Section I discusses object detection and tracking ideas and algorithms; Section II examines applications based on re-identification challenges; and Section III presents applications based on FR research.
Recent Advances in Face Recognition
Title | Recent Advances in Face Recognition PDF eBook |
Author | Kresimir Delac |
Publisher | BoD – Books on Demand |
Pages | 250 |
Release | 2008-12-01 |
Genre | Computers |
ISBN | 9537619346 |
The main idea and the driver of further research in the area of face recognition are security applications and human-computer interaction. Face recognition represents an intuitive and non-intrusive method of recognizing people and this is why it became one of three identification methods used in e-passports and a biometric of choice for many other security applications. This goal of this book is to provide the reader with the most up to date research performed in automatic face recognition. The chapters presented use innovative approaches to deal with a wide variety of unsolved issues.
Face Recognition
Title | Face Recognition PDF eBook |
Author | Miloš Oravec |
Publisher | BoD – Books on Demand |
Pages | 414 |
Release | 2010-04-01 |
Genre | Computers |
ISBN | 9533070609 |
This book aims to bring together selected recent advances, applications and original results in the area of biometric face recognition. They can be useful for researchers, engineers, graduate and postgraduate students, experts in this area and hopefully also for people interested generally in computer science, security, machine learning and artificial intelligence. Various methods, approaches and algorithms for recognition of human faces are used by authors of the chapters of this book, e.g. PCA, LDA, artificial neural networks, wavelets, curvelets, kernel methods, Gabor filters, active appearance models, 2D and 3D representations, optical correlation, hidden Markov models and others. Also a broad range of problems is covered: feature extraction and dimensionality reduction (chapters 1-4), 2D face recognition from the point of view of full system proposal (chapters 5-10), illumination and pose problems (chapters 11-13), eye movement (chapter 14), 3D face recognition (chapters 15-19) and hardware issues (chapters 19-20).
Pattern Recognition and Image Analysis
Title | Pattern Recognition and Image Analysis PDF eBook |
Author | Sameer Singh |
Publisher | Springer Science & Business Media |
Pages | 833 |
Release | 2005-08-17 |
Genre | Computers |
ISBN | 3540288333 |
The two volume set LNCS 3686 and LNCS 3687 constitutes the refereed proceedings of the Third International Conference on Advances in Pattern Recognition, ICAPR 2005, held in Bath, UK in August 2005. The papers submitted to ICAPR 2005 were thoroughly reviewed by up to three referees per paper and less than 40% of the submitted papers were accepted. The first volume includes 73 contributions related to Pattern Recognition and Data Mining (which included papers from the tracks of pattern recognition methods, knowledge and learning, and data mining); topics addressed are pattern recognition, data mining, signal processing and OCR/ document analysis. The second volume contains 87 contributions related to Pattern Recognition and Image Analysis (which included papers from the applications track) and deals with security and surveillance, biometrics, image processing and medical imaging. It also contains papers from the Workshop on Pattern Recognition for Crime Prevention.
Multimedia Content Representation, Classification and Security
Title | Multimedia Content Representation, Classification and Security PDF eBook |
Author | Bilge Gunsel |
Publisher | Springer Science & Business Media |
Pages | 822 |
Release | 2006-09-04 |
Genre | Computers |
ISBN | 3540393927 |
This book constitutes the refereed proceedings of the International Workshop on Multimedia Content Representation, Classification and Security, MRCS 2006. The book presents 100 revised papers together with 4 invited lectures. Coverage includes biometric recognition, multimedia content security, steganography, watermarking, authentication, classification for biometric recognition, digital watermarking, content analysis and representation, 3D object retrieval and classification, representation, analysis and retrieval in cultural heritage, content representation, indexing and retrieval, and more.