Proceedings of International Conference on Computer Vision and Image Processing: CVIP 2016, Volume 1
by Kumar, Sanjeev Raman, Balasubramanian Roy, Partha Pratim Sen, Debashis
This edited volume contains technical contributions in the field of computer vision and image processing presented at the First International Conference on Computer Vision and Image Processing (CVIP 2016). The contributions are thematically divided based on their relation to operations at the lower, middle and higher levels of vision systems, and their applications. The technical contributions in the areas of sensors, acquisition, visualization and enhancement are classified as related to low-l…
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- Full title :Proceedings of International Conference on Computer Vision and Image Processing : CVIP 2016, Volume 1 / edited by Balasubramanian Raman, Sanjeev Kumar, Partha Pratim Roy, Debashis Sen.
Summary
This edited volume contains technical contributions in the field of computer vision and image processing presented at the First International Conference on Computer Vision and Image Processing (CVIP 2016). The contributions are thematically divided based on their relation to operations at the lower, middle and higher levels of vision systems, and their applications. The technical contributions in the areas of sensors, acquisition, visualization and enhancement are classified as related to low-level operations. They discuss various modern topics - reconfigurable image system architecture, Scheimpflug camera calibration, real-time autofocusing, climate visualization, tone mapping, super-resolution and image resizing. The technical contributions in the areas of segmentation and retrieval are classified as related to mid-level operations. They discuss some state-of-the-art techniques - non-rigid image registration, iterative image partitioning, egocentric object detection and video shot boundary detection. The technical contributions in the areas of classification and retrieval are categorized as related to high-level operations. They discuss some state-of-the-art approaches - extreme learning machines, and target, gesture and action recognition. A non-regularized state preserving extreme learning machine is presented for natural scene classification. An algorithm for human action recognition through dynamic frame warping based on depth cues is given. Target recognition in night vision through convolutional neural network is also presented. Use of convolutional neural network in detecting static hand gesture is also discussed. Finally, the technical contributions in the areas of surveillance, coding and data security, and biometrics and document processing are considered as applications of computer vision and image processing. They discuss some contemporary applications. A few of them are a system for tackling blind curves, a quick reaction target acquisition and tracking system, an algorithm to detect for copy-move forgery based on circle block, a novel visual secret sharing scheme using affine cipher and image interleaving, a finger knuckle print recognition system based on wavelet and Gabor filtering, and a palmprint recognition based on minutiae quadruplets.
Read More ↓Edition Statements
- Publication Date:2017.
Publication Statements
- Publisher(s):Imprint, Springer, Springer Singapore
- Place of Publication:Singapore
- Language:eng
- Publication Date:2017.
The Physical Object
- Description:1 recurso en línea; 1 online resource (XIV, 645 p. 308 il)
Edition Identifiers
- ISBN:9789811021046, 981102104X, 9789811021039, 9811021031
- DOI:10.1007/978-981-10-2104-6
- oclc:ocn981559303
- Dewey Decimal:621.382
Table of Contents
Chapter 1. Background Modeling Using Temporal-local Sample Density Outlier Detection -- Chapter 2. Analysis of Framelets for the Microcalcification -- Chapter 3. Reconfigurable Architecture Based Implementation of Non-Uniformity Correction for Long Wave IR Sensors -- Chapter 4. Finger Knuckle Print Recognition Based on Wavelet and Gabor Filtering -- Chapter 5. Design of Advanced Correlation Filters for Finger Knuckle Print Authentication Systems.-Chapter 6. A Non-Linear Modified CONVEF-AD Based Approach for Low-Dose Sinogram Restoration -- Chapter 7. System Design for Tackling Blind Curves -- Chapter 8. A Novel Visual Word Assignment Model for Content Based Image Retrieval -- Chapter 9. Online Support Vector Machine Based on Minimum Euclidean Distance -- Chapter 10. Design and Development of 3D Urban Geographical Information Retrieval Application Employing only Open Source Instruments -- Chapter 11. A Textural Characterization of Coal SEM Images Using Functional Link Artificial Neural Network -- Chapter 12. Template-based Automatic High-speed Relighting of Faces -- Chapter 13. An Improved Contextual Information Based Approach for Anomaly Detection via Adaptive Inference for Survei…
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