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检索条件"任意字段=Proceedings of the Fourteenth Indian Conference on Computer Vision, Graphics and Image Processing"

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Knowledge sharing and cooperation based adaptive boosting for robust eye detection 14

Knowledge sharing and cooperation based adaptive boosting fo...

引用

9th indian conference on computer vision, graphics and image processing, ICVGIP 2014

作者： Lahiri, Avisek Biswas, Prabir Indian Institute of Technology Kharagpur West721302 India

ISBN: (纸本)1595930361

This paper proposes knowledge sharing and cooperation based Adaptive Boosting (KSC-AdaBoost) for supervised collaborative learning in presence of two different feature spaces (views) representing a training example. In such a binary learner space, two learner agents are trained on the two feature spaces. Difficulty of a training example is ascertained not only by classification performance of an individual learner but also by overall group performance on that training example. Group learning is enhanced by a novel algorithm for assigning weight to training set data. Three different models of KSC-AdaBoost are proposed for agglomerating decisions of the two learners. KSC-AdaBoost out-performs traditional AdaBoost and some recent variants of AdaBoost in terms of convergence rate of training set error and generalization accuracy. The paper then presents KSC-AdaBoost based hierarchical model for accurate eye region localization followed by fuzzy rule based system for robust eye center detection. Exhaustive experiments on five publicly available popular datasets reveal the viability of the learning models and superior eye detection accuracy over recent state-of-the-art algorithms. Copyright 2014 ACM.

关键词： Fuzzy rules

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Domain adaptation on correlated subspace for unseen multiview headpose classification 14

Domain adaptation on correlated subspace for unseen multivie...

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9th indian conference on computer vision, graphics and image processing, ICVGIP 2014

作者： Rajagopal, Anoop K. Ramakrishnan, K.R. Dept. of Electrical Engineering Indian Institute of Science Bengaluru India

ISBN: (纸本)1595930361

Head pose classification from images acquired from far field cameras is a challenging problem because of the low resolution, blur and noise due to subject movements. Further there exists a domain shift in head pose classification between training (source) and testing (target) images. Also more often the head poses in the target set may not exist in the source set and acquiring sufficient samples for training is quite expensive. In this paper, we propose a novel framework to address multi-view unseen head pose classification where the target set belongs to a different domain and has more classes than in the source. A correlated subspace is first derived using Canonical Correlation Analysis (CCA) between corresponding head poses in the source (stationary subjects) and target set (moving subjects). A distance based Domain Adaptation technique is then used in the correlation subspace for classification of unseen head pose in the target set. Experimental results confirm the effectiveness of our approach in improving the classification performance over the state-of-art. Copyright is held by the authors.

关键词： CCA

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Knowledge Distillation with Ensemble Calibration 14

Knowledge Distillation with Ensemble Calibration

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14th indian conference on computer vision, graphics and image processing, ICVGIP 2023

作者： Mishra, Ishan Jain, Riyanshu Viradiya, Dhruv Patel, Divyam Mishra, Deepak Indian Institute of Technology Jodhpur India

ISBN: (纸本)9798400716256

Knowledge Distillation is a transfer learning and compression technique that aims to transfer hidden knowledge from a teacher model to a student model. However, this transfer often leads to poor calibration in the student model. This can be problematic for high-risk applications that require well-calibrated models to capture prediction uncertainty. To address this issue, we propose a simple and novel technique that enhances the calibration of the student network by using an ensemble of well-calibrated teacher models. We train multiple teacher models using various data-augmentation techniques such as cutout, mixup, CutMix, and AugMix and use their ensemble for knowledge distillation. We evaluate our approach on different teacher-student combinations using CIFAR-10 and CIFAR-100 datasets. Our results demonstrate that our technique improves calibration metrics (such as expected calibration and overconfidence errors) while also increasing the accuracy of the student network. © 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Distillation

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Using differential constraints to generate a 3D face model from stereo

Using differential constraints to generate a 3D face model f...

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International conference on Pattern Recognition

作者： R. Lengagne P. Fua O. Monga INRIA-Rocquencourt Le Chesnay France Computer Graphics Laboratory LIG EPFL Lausanne Lausanne Switzerland

We propose a way to incorporate a priori information in a 3D stereo reconstruction process from a pair of calibrated face images. A 3D mesh modeling the surface is iteratively deformed in order to minimize an energy function. Differential information about the object shape is used to generate an adaptive mesh that can fulfil the compacity and the accuracy requirements. Moreover in areas where the stereo information is not reliable enough to accurately recover the surface shape, because of inappropriate texture or bad lighting conditions, we incorporate geometric constraints related to the differential properties of the surface, that can be intuitive or refer to predefined geometric properties of the object to be reconstructed. They can be applied to scalar fields, such as curvature values, or structural features, such as crest lines. Therefore, we generate a 3D face model using computer vision techniques that is compact, accurate and consistent with the a priori knowledge about the underlying surface.

关键词： Surface reconstruction Stereo image processing Stereo vision image reconstruction Shape Surface texture Deformable models Mesh generation Face detection computer vision

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A Parallel Architecture for Successive Elimination Block Matching Algorithm

A Parallel Architecture for Successive Elimination Block Mat...

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indian conference on computer vision, graphics & image processing (ICVGIP)

作者： Kota Naga Srinivasarao Batta Indrajit Chakrabarti Dept. of Electron. & Electr. Commun. Eng. Indian Inst. of Technol. Kharagpur Department of Electronics and Electrical Communications Engineering Indian Institute of Technology Kharagpur India

This paper proposes a parallel architecture for a successive elimination algorithm (SEA), which is used in block matching motion estimation. SEA effectively eliminates the search points within the search window and thus decreases the number of matching evaluation instances that require very intensive computations compared to the standard full search algorithm (FSA). The proposed architecture for SEA decreases the time to calculate the motion vector by 57 percent compared to FSA. The performance while applying the SEA to several standard video clips has been shown to be same compared to the standard FSA. The proposed architecture uses 16 processing elements accompanied with use of intelligent data arrangement and memory configuration. A technique for reducing external memory accesses has also been developed. The proposed architecture for SEA provides an efficient solution for applications requiring real-time motion estimations. For, it serves to compute motion vectors in less amount of time while requiring almost same power and some increase in area compared to a similar architecture for implementing the full search algorithm. A register-transfer level implementation as well as simulation results on benchmark video clips are presented. Relevant design statistics on area and power for comparing between SEA and FSA implementations are also provided.

关键词： Parallel architectures Motion estimation computer architecture Video compression Hardware computer vision computer graphics image processing Underwater communication Paper technology

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Emerging Intelligent Computing Technology and Applications 1

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丛书名： Communications in computer and Information Science

1000年

作者： De-Shuang Huang Phalguni Gupta Ling Wang Michael Gromiha

ISBN: (数字)9783642396786

ISBN: (纸本)9783642396779

This book constitutes the refereed proceedings of the 9th International conference on Intelligent Computing, ICIC 2013, held in Nanning, China, in July 2013. The 192 revised full papers presented in the three volumes LNCS 7995, LNAI 7996, and CCIS 375 were carefully reviewed and selected from 561 submissions. The papers in this volume (CCIS 375) are organized in topical sections on Neural Networks; Systems Biology and Computational Biology; Computational Genomics and Proteomics; Knowledge Discovery and Data Mining; Evolutionary Learning and Genetic Algorithms; Machine Learning Theory and Methods; Biomedical Informatics Theory and Methods; Particle Swarm Optimization and Niche Technology; Unsupervised and Reinforcement Learning; Intelligent Computing in Bioinformatics; Intelligent Computing in Finance/Banking; Intelligent Computing in Petri Nets/Transportation Systems; Intelligent Computing in Signal processing; Intelligent Computing in Pattern Recognition; Intelligent Computing in image processing; Intelligent Computing in Robotics; Intelligent Computing in computer vision; Special Session on Biometrics System and Security for Intelligent Computing; Special Session on Bio-inspired Computing and Applications; computer Human Interaction using Multiple Visual Cues and Intelligent Computing; Special Session on Protein and Gene Bioinformatics: Analysis, Algorithms and Applications.

关键词： Mathematical Models of Cognitive Processes and Neural Networks Artificial Intelligence Computational Biology/Bioinformatics image processing and computer vision Pattern Recognition Biometrics

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image Denoising Using Matched Biorthogonal Wavelets

Image Denoising Using Matched Biorthogonal Wavelets

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indian conference on computer vision, graphics & image processing (ICVGIP)

作者： Sanjeev Pragada Jayanthi Sivaswamy Center for Visual Information Technology International Institute of Information Technology Hyderabad India

Current denoising techniques use the classical ortho normal wavelets for decomposition of an image corrupted with additive white Gaussian noise, upon which various thresholding strategies are built. The use of available biorthogonal wavelets in image denoising is less common because of their poor performance. In this paper, we present a method to design image-matched biorthogonal wavelet bases and report on their potential for denoising. We have conducted experiments on various image datasets namely Natural, Satellite and Medical with the designed wavelets using two existing thresholding strategies. Test results from comparing the performance of matched and fixed biorthogonal wavelets show an average improvement of 35% in MSE for low SNR values (0 to 18 db) in every dataset. This improvement was also seen in the PSNR and visual comparisons. This points to the importance of matching when using wavelet-based denoising.

关键词： image denoising Noise reduction Signal design Additive white noise Information technology Design methodology image coding Gaussian noise Kernel Finite impulse response filter

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An OCR system for the Meetei Mayek script

An OCR system for the Meetei Mayek script

引用

National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Subhankar Ghosh Ujjwol Barman P. K. Bora Tourangbam Harishore Singh B. B. Chaudhuri Department of EEE Indian Institute of Technology Guwahati Assam India Department of ECE National Institute of Technology Imphal Manipur India CVPR Unit Indian Statistical Institute Kolkata WB India

This paper presents an implementation of an OCR system for the Meetei Mayek script. The script has been newly reintroduced and there is a growing set of documents currently available in this script. Our system accepts an image of the textual portion of a page and outputs the text in the Unicode format. It incorporates preprocessing, segmentation and classification stages. However, no post-processing is done to the output. The system achieves an accuracy of about 96% on a moderate database.

关键词： Databases Accuracy Training Character recognition Handwriting recognition conferences

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Information Systems Security 1

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丛书名： Lecture Notes in computer Science

1000年

作者： Vinod Ganapathy Trent Jaeger R.K. Shyamasundar

ISBN: (数字)9783030051716

ISBN: (纸本)9783030051709

This book constitutes the refereed proceedings of the 14th International conference on Information Systems Security, ICISS 2018, held in Bangalore, India, in December 2018.;The 23 revised full papers presented in this book together with 1 invited paper and 3 keynote abstracts were carefully reviewed and selected from 51 submissions. The papers are organized in the following topical sections: security for ubiquitous computing; modelling and anaylsis of attacks; smartphone security; cryptography and theory; enterprise and cloud security; machine learning and security; privacy; and client security and authentication.

关键词： Security Computing Milieux image processing and computer vision Software Engineering computer Communication Networks System Performance and Evaluation

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Multi-resolution Tracking in Space and Time

Multi-resolution Tracking in Space and Time

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indian conference on computer vision, graphics & image processing (ICVGIP)

作者： Sumantra Dutta Roy Son Dinh Tran Larry Steven Davis B. Sreenivasa Vikram Department of Electrical Engineering Indian Institute of Technology Delhi India Department of Computer Science University of Maryland College Park USA Bharti School of Telecom Tech & Management Indian Institute of Technology Delhi India

This paper proposes efficient and robust methods for tracking a moving object at multiple spatial and temporal resolution levels. The efficiency comes from optimising the amounts of spatial and temporal data processed. The robustness results from multi-level coarse-to-fine state-space searching. Tracking across resolution levels incurs an accuracy-versus-speed trade-off. For example, tracking at higher resolutions incurs greater processing cost, while maintaining higher accuracy in estimating the position of the moving object. We propose a novel spatial multi-scale tracker that tracks at the optimal accuracy-versus-speed operating point. Next, we relax this requirement to propose a multi-resolution tracker that operates at a minimum acceptable performance level. Finally, we extend these ideas to a multi-resolution spatio-temporal tracker. We show results of extensive experimentation in support of the proposed approaches.

关键词： Spatial resolution Bayesian methods Filtering computer vision Space technology computer science Educational institutions Robustness Costs Spatiotemporal phenomena

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