Computer vision and image processing 4th International Conference, CVIP 2019, Jaipur, India, September 27-29, 2019, revised selected papers.: 4th International Conference, CVIP 2019, Jaipur, India, September 27-29, 2019, revised selected papers. Part I (©2020)

• Record Type: Book
• Other Titles: CVIP 2019
• Further Information: Note: Neeta Nain, Santosh Kumar Vipparthi, Balasubramanian Raman (eds.).
• Other Names: Nain, Neeta; Vipparthi, Santosh Kumar; Raman, Balasubramanian; International Conference on Computer Vision and Image Processing, 4th
• Contents: Intro -- Preface -- Organization -- Contents -- Part I -- Contents -- Part II -- Biometrics -- Towards Ocular Recognition Through Local Image Descriptors -- 1 Introduction -- 2 Feature Extraction -- 2.1 Statistical Features -- 2.2 Transform-Based Features -- 3 Experimental Setup and Results -- 3.1 Results of Statistical Feature Descriptor -- 3.2 Results of Transform-Based Feature Descriptor -- 4 Conclusion -- References -- Computer Forensic -- A Fast and Rigid Copy Move Forgery Detection Technique Using HDBSCAN -- 1 Introduction -- 2 Proposed Method -- 2.1 Preprocessing 2.2 Finding Keypoints and Extraction of Features Using SIFT -- 2.3 Keypoint Localization and Orientation Assignment -- 2.4 Feature Matching -- 2.5 Detection of Outliers and Clustering Using HDBSCAN -- 3 Experimental Results -- 3.1 Dataset Description -- 3.2 Metrics for Performance Evaluation -- 3.3 Results Analysis -- 3.4 Qualitative Results -- 4 Conclusion -- References -- Computer Vision -- Automated Industrial Quality Control of Pipe Stacks Using Computer Vision -- 1 Introduction -- 2 Related Work -- 2.1 Use of Computer Vision in Fault Detection in the Pipe Industry 2.2 Hough Transform and Its Variants -- 3 Problem Definition -- 3.1 Input -- 3.2 Assumptions -- 3.3 Output -- 4 Methodology -- 4.1 Comparing the State-of-the-Art Circle Detection Algorithms -- 4.2 Preprocessing -- 4.3 Morphological Processing: Intensification of Foreground -- 4.4 Smoothing: Suppression of Background -- 4.5 Edge Detection -- 4.6 Region-Based Hough Transform -- 5 Results -- 6 Discussion and Future Work -- References -- Asymmetric Wide Tele Camera Fusion for High Fidelity Digital Zoom -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Multi-camera Image Fusion 3.2 Multi Camera Video Transition -- 4 Experimental Results -- 5 Conclusion -- References -- Energy Based Convex Set Hyperspectral Endmember Extraction Algorithm -- 1 Introduction -- 2 Proposed Algorithm -- 3 Simulation Results -- 3.1 Dataset -- 3.2 Evaluation Parameters -- 3.3 Discussion -- 4 Conclusion -- References -- Fast Semantic Feature Extraction Using Superpixels for Soft Segmentation -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Model Architecture -- 3.2 Loss Function -- 4 Experimental Analysis -- 5 Conclusion -- References Spatially Variant Laplacian Pyramids for Multi-frame Exposure Fusion -- 1 Introduction -- 1.1 Overview of Laplacian Pyramid Blending -- 2 Proposed Method -- 2.1 Proposed Spatially Variant Level-Based Blending -- 2.2 Extension to Multiple Frames -- 3 Experimental Results -- 3.1 Qualitative Comparisons -- 3.2 Quantitative Comparisons -- 3.3 Visualizations -- 4 Conclusion -- References -- Traffic Sign Recognition Using Color and Spatial Transformer Network on GPU Embedded Development Board -- 1 Introduction -- 2 Related Work -- 3 Proposed System -- 3.1 Color Transformer Network
• Publisher Details: Singapore : Springer
• Publication Date: 2020
• Copyright Date: 2020
• Extent: 1 online resource (440 p.)
• Subjects: 006.3/7; Computer vision -- Congresses; Image processing -- Digital techniques -- Congresses; Computer vision; Image processing -- Digital techniques; Electronic books; Conference papers and proceedings
• Languages: English
• ISBNs: 9789811540158; 9811540152; 9789811540141; 9811540144; 9789811540165; 9811540160
• Notes: Note: Includes bibliographical references and index.
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• 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.