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
- Title:
- 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)
- Main Title:
- Computer vision and image processing 4th International Conference, CVIP 2019, Jaipur, India, September 27-29, 2019, revised selected papers.
- 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 -- 4.6Intro -- 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 … (more)
- 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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- 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).
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.511246
- Ingest File:
- 03_090.xml