Local image descriptor : modern approaches /: modern approaches. (2015)

• Record Type: Book
• Further Information: Note: Bin Fan, Zhenhua Wang, Fuchao Wu.
• Authors: Fan, Bin; Wang, Zhenhua; Wu, Fuchao
• Contents: Foreword 1; Foreword 2; Preface; Contents; 1 Introduction; References; 2 Classical Local Descriptors; 2.1 Scale-Invariant Feature Transform (SIFT); 2.1.1 Scale Space Representation in SIFT; 2.1.2 Keypoint Detection; 2.1.3 Feature Description; 2.2 Speeded Up Robust Feature (SURF); 2.2.1 Integral Image; 2.2.2 Scale Space Representation in SURF; 2.2.3 Scale-Invariant Interest Point Detection; 2.2.4 Orientation Assignment and Descriptor Construction; 2.3 Local Binary Pattern and Its Variants; References; 3 Intensity Order-Based Local Descriptors. 3.1 Ordinal and Spatial Intensity Distribution Descriptor (OSID)3.2 Intensity Order-Based Pooling for Feature Description; 3.2.1 An Analysis of the Geometric-Based Spatial Pooling; 3.2.2 Intensity Order-Based Patch Division; 3.2.3 Construction of MROGH and MRRID Descriptors; 3.3 Local Intensity Order Pattern for Feature Description; 3.3.1 Construction of the LIOP Descriptor; 3.4 Intensity Order-Based Binary Descriptor; 3.4.1 Subregions Generation; 3.4.2 Regional Invariants and Pairwise Comparisons; 3.4.3 Learning Good Binary Descriptor; 3.4.4 Using Multiple Support Regions. 3.4.5 Cascade Filtering for Speeding up MatchingReferences; 4 Burgeoning Methods: Binary Descriptors; 4.1 BRIEF: Binary Robust Independent Elementary Features; 4.2 ORB: Oriented FAST and Rotated BRIEF; 4.2.1 Scale Invariant FAST Detector; 4.2.2 Orientation Computation by Intensity Centriod; 4.2.3 Learning Good Binary Features; 4.3 BRISK: Binary Robust and Invariant Scalable Keypoints; 4.3.1 Keypoint Detection; 4.3.2 Orientation Assignment and Keypoint Description; 4.4 FREAK: Fast Retina Keypoint; 4.4.1 Descriptor Construction; 4.4.2 Saccadic Matching with FREAK. 4.5 FRIF: Fast Robust Invariant Feature4.5.1 FALoG Detector; 4.5.2 Mixed Binary Descriptor; 4.6 Learning Binary Descriptors by Supervised Information; 4.6.1 From Raw Image Patch; 4.6.2 From an Intermediate Representation; References; 5 Visual Applications; 5.1 Structure from Motion and 3D Reconstruction; 5.2 Object Recognition; 5.3 Content-Based Image Retrieval; 5.4 Simultaneous Localization and Mapping (SLAM); References; 6 Resources and Future Work; 6.1 Dataset and Evaluation Protocol; 6.1.1 Benchmarks for Image Matching; 6.1.2 Benchmarks for Object Recognition. 6.1.3 Benchmarks for Image Retrieval6.2 Conclusion Remarks and Future Work; References.
• Publisher Details: Berlin : Springer
• Publication Date: 2015
• Extent: 1 online resource (xii, 99 pages), illustrations (some color)
• Subjects: 006.6; Computer vision; COMPUTERS -- General; Computer vision; Computer Science; Image Processing and Computer Vision; Pattern Recognition; Artificial Intelligence (incl. Robotics); Electronic books
• Languages: English
• ISBNs: 9783662491737; 3662491737
• Related ISBNs: 3662491710; 9783662491713
• Notes: Note: Includes bibliographical references.; Note: Online resource; title from PDF title page (SpringerLink, viewed January 14, 2016).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.