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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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Shape from shading: analysis of implicit surfaces by synthesis

Shape from shading: analysis of implicit surfaces by synthes...

引用

International conference on Signal processing proceedings (ICSP)

作者： K. Rajgopal S.J. Sathish Department of Electrical Engineering Indian Institute of Science Bangalore India

In this paper, we present a general framework for solving the shape from shading problem for a class of surfaces called implicit surfaces by applying image synthesis techniques from computer graphics. The method relies on iterative synthesis of images from object descriptions in order to minimize an error function. The technique is illustrated in detail for quadric surfaces, with the ellipsoid as the specific example. The advantage of this approach is that reconstructing the shape of objects from shading is possible even under very general imaging conditions.

关键词： Shape computer graphics Partial differential equations image generation Iterative methods computer errors Surface reconstruction Ellipsoids image reconstruction computer vision

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Audio-Visual Person Authentication with Multiple Visualized-Speech Features and Multiple Face Profiles

Audio-Visual Person Authentication with Multiple Visualized-...

引用

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

作者： Amitava Das Ohil K. Manyam Makarand Tapaswi Microsoft Research India India

We present an Audio-visual person authentication system which extracts several novel ldquovisualized-speech-featuresrdquo (VSF) from the spoken-password and multiple face profiles using a simple user-interface and combine these features to deliver high performance and resilience against imposter attacks. The spoken password is converted to a string of images formed by several visualized speech features. A compressed form of these VSFs preserves speaker identity in a compact manner. Simulation results on an in-house 210-user AV-user-ID database collected with wide variations of users in real-life office environments demonstrate separable distributions of client and imposter scores (0% EER), while offering low storage and computational complexities compared to conventional AV user-recognition methods.

关键词： Authentication Visualization Resilience image converters Speech image coding Computational modeling image databases Spatial databases Visual databases

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Disparity based depth estimation using light field camera 21

Disparity based depth estimation using light field camera

引用

12th indian conference on computer vision, graphics and image processing, ICVGIP 2021

作者： Nehra, Suresh Das, Tamal Chakraborty, Simantini Biswas, P.K. Mukhopadhyay, J. Indian Institute of Technology Kharagpur India National Institute of Technology Agartala India

ISBN: (纸本)9781450391276

Light field cameras have a unique feature of capturing the direction of light rays along with its intensity. This additional information is used to estimate the depth of a 3-D scene. Recently a considerable amount of research has been done in depth estimation using light field data. However, these depth estimation methods heavily rely on iterative optimization techniques and do not fully exploit the inherent structured light field data. In this paper, we present a novel three-step disparity based algorithm to estimate accurate depth maps of a light field image. First, an initial depth map of scene points is estimated using principal views by estimating the disparity of segments in the central image. This initial depth helps in resolving ambiguity in depth propagation of refined depth map in Epi-Polar line images (EPIs). Second, refined depth is estimated at lines using the disparity vector in EPIs. Finally, refined depth at lines in EPIs is propagated to other locations using the initial depth map. We also provided a synthetic data-set having inherent characteristic of a light field. We have tested our approach on a variety of real-world scenes captured with Lytro Illum camera and also on synthetic images. The proposed method outperforms several state-of-the-art algorithms. © 2021 ACM.

关键词： Cameras

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MRC Compression of Compound Documents Using Threshold Segmentation, Iterative Data-Filling and H.264/AVC-INTRA

MRC Compression of Compound Documents Using Threshold Segmen...

引用

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

作者： Alexandre Zaghetto Ricardo L. de Queiroz Debargha Mukherjee ENE Universidade de Brasília Brasília DF Brasil Universidade de Brasilia Brasilia DF BR Hewlett-Packard Laboratory Palo Alto CA USA Hewlett Packard Labs Palo Alto CA USA

The Mixed Raster Content (MRC) ITU document compression standard (T.44) specifies a multi-layer representation of a compound document. It is expected that higher compression can be achieved if more efficient compression standards are used to compress each layer. In this paper we present an MRC compound document codec that uses H.264/AVC operating in INTRA mode to encode Background/Foreground layers and JBIG2 to encode the binary Mask layer. We also present a threshold-based layer segmentation algorithm and an iterative data-filling algorithm for redundant regions. The result is an unrivaled performance for compressing compound documents as demonstrated by our experiments.

关键词： image coding Automatic voltage control PSNR Transform coding image segmentation Codecs Iterative algorithms Video compression computer vision computer graphics

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Dictionary based approach for facial expression recognition from static images 10

Dictionary based approach for facial expression recognition ...

引用

10th indian conference on computer vision, graphics and image processing, ICVGIP 2016

作者： Sharma, Krishan Rameshan, Renu School of Computing and Electrical Engineering Indian Institute of Technology MandiHimachal Pradesh India

We present a simple approach for facial expression recognition from images using the principle of sparse representation using a learned dictionary. Visual appearance based feature descriptors like histogram of oriented gradients (HOG), local binary patterns (LBP) and eigenfaces are used. We use Fisher discrimination dictionary which has discrimination capability in addition to being reconstructive. The classification is based on the fact that each expression class with in the dictionary spans a subspace and these subspaces have non-overlapping directions so that they are widely separated. Each test feature point has a sparse representation in the union of subspaces of dictionary formed by labeled training points. To check recognition performance of the proposed approach, extensive experimentation is done over Jaffee and CK databases. Results show that the proposed approach has better classification accuracy than state-of-the-art techniques. © Springer International Publishing AG 2017.

关键词： Local binary pattern

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Fast and Secure Real-Time Video Encryption

Fast and Secure Real-Time Video Encryption

引用

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

作者： C. Narsimha Raju Ganugula Umadevi Kannan Srinathan C.V. Jawahar International Institute of Information Technology Hyderabad India

Advances in digital content transmission have increased in the past few years. Security and privacy issues of the transmitted data have become an important concern in multimedia technology. In this paper, we propose a computationally efficient and secure video encryption algorithm. This makes secure video encryption feasible for real-time applications without any extra dedicated hardware. We achieve computational efficiency by exploiting the frequently occurring patterns in the DCT coefficients of the video data. Computational complexity of the encryption is made proportional to the influence of the DCT coefficients on the visual content. On an average, our algorithm takes only 8.32 ms of encryption time per frame.

关键词： Cryptography Data security Discrete cosine transforms Streaming media Videoconference Computational efficiency Costs Information security Codecs computer vision

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ColCompNeT: Deep Learning-Based Colorization-Based Coding Network 1

引用

4th International conference on Machine Intelligence and Signal processing, MISP 2022

作者： Mishra, Dipti Singh, Satish Kumar Mahindra University Hyderabad500043 India Indian Institute of Information Technology Allahabad Allahabad211012 India

ISBN: (数字)9789819900855

ISBN: (纸本)9789819900848

Converting a grayscale image to a visually plausible and perceptually meaningful color image is an exciting research topic in computer vision and graphics. However, predicting the chrominance channels from a grayscale image is an ill-posed problem, especially when the objective is to produce the same color as in the ground truth image, like for the application of compression using colorization or video/image restoration. Compression using colorization efficiently reduces the storage space and transmission bandwidth by two-thirds and maintains the image’s visual quality. However, colorizing decompressed gray images exactly as ground truth with maximum accuracy is a challenging task. In this paper, learning-based CNN network ColCompNeT has been proposed in which concept of parallel training of colorization and compression network is utilized. With the proposed algorithm, a maximum bit saving of 36.45% is achieved with the improved objective and subjective performance when compared with the state-of-the-art methods. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Network coding

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Palm Leaf Manuscript/Color Document image Enhancement by Using Improved Adaptive Binarization Method

Palm Leaf Manuscript/Color Document image Enhancement by Usi...

引用

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

作者： Sridhar Cherala Priti P. Rege College of Engineering Pune India

This paper presents a new color document image binarization that is suitable for palm leaf manuscripts and color document images. The proposed method consists of two steps: a pre-processing procedure using low-pass Wiener filter, and contrast adaptive binarization for segmentation of text from the background. Firstly, in the pre-processing stage, low-pass Wiener filter is used to eliminate noisy areas, smoothing of background texture as well as contrast enhancement between background and text areas. Finally, binarization is performed by using contrast adaptive binarization method in order to extract useful text information from low quality document *** techniques are tested on a set of palm leaf manuscript images/color document images. The performance of the algorithm is demonstrated on by palm leaf manuscripts/color documents distorted with show-through effects, uneven background color and localized spot.

关键词： image enhancement Gray-scale Pixel Color Laplace equations Optical character recognition software Character recognition Text analysis Wiener filter image segmentation

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Brain MR image segmentation using tabu search and hidden markov random field model

Brain MR image segmentation using tabu search and hidden mar...

引用

2nd indian International conference on Artificial Intelligence, IICAI 2005

作者： Nanda, P.K. Patra, D. Pradhan, A. Department of Electrical Engineering Image Processing and Computer Vision Laboratory National Institute of Technology Rourkela Orissa 769008 India

ISBN: (纸本)0972741216

In this paper, we propose a hybrid Tabu Expectation Maximization (TEM) Algorithm for segmentation of Brain Magnetic Resonance (MR) images in both supervised and unsupervised framewrok. Gaussian Hidden Markov Random Field (GHMRF) is used to model the available degraded image. In supervised framework, the apriori image MRF model parameters as well as the GHMRF model parameters are assumed to be known. The class labels are estimated using the Maximum a Posteriori (MAP) estimation criterion. In unsupervised framework, the problem of model parameter estimation and label estimation is formulated in Expectation Maximization (EM) framework. The labels are estimated using the proposed Tabu Search algorithm while the model parameters are the maximum likelihood estimates. Our proposed algorithm yields results with arbitrary initial paramater set and thus overcomes the problem of proper choice of initial parameters. The results obtained are comparable with the results obtained by using the algorithm proposed by Zhang ***. [15] , where the Iterated Conditional Mode (ICJM) algorithm is used for computing the MAP estimates. Copyright © IICAI 2005.

关键词： Tabu search

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Intelligent Computing in Bioinformatics 1

引用

丛书名： Lecture Notes in computer Science

1000年

作者： De-Shuang Huang Kyungsook Han Michael Gromiha

ISBN: (数字)9783319093307

ISBN: (纸本)9783319093291

This book – in conjunction with the volumes LNCS 8588 and LNAI 8589 – constitutes the refereed proceedings of the 10th International conference on Intelligent Computing, ICIC 2014, held in Taiyuan, China, in August 2014. The 58 papers of this volume were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections such as machine learning; neural networks; image processing; computational systems biology and medical informatics; biomedical informatics theory and methods; advances on bio-inspired computing; protein and gene bioinformatics: analysis, algorithms, applications.

关键词： Artificial Intelligence Algorithm Analysis and Problem Complexity Computation by Abstract Devices Pattern Recognition image processing and computer vision Information Systems Applications (incl. Internet)

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