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检索条件"任意字段=6th Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2008"

共 102 条记录，以下是21-30 订阅

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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

6th indian conference on computer vision, graphics and image processing

作者： Cherala, Sridhar Rege, Priti Coll Engn Pune Maharashtra India

ISBN: (纸本)9781424442195

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 images. the 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： binarization pre-processing contrast adaptive binarization palm leaf manuscript/color document images

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Incorporating Cohort Information for Reliable Palmprint Authentication

Incorporating Cohort Information for Reliable Palmprint Auth...

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6th indian conference on computer vision, graphics and image processing

作者： Kumar, Ajay Indian Inst Technol Delhi Biometr Res Lab Dept Elect Engn New Delhi 110016 India

ISBN: (纸本)9781424442195

this paper presents a new approach to achieve the performance improvement for the traditional palmprint authentication approaches. the cohort information is used in the matching stage but only when the matching scores are inadequate to generate reliable decisions. the cohort information can also be utilized to achieve the significant performance improvement for the combination of modalities and this is demonstrated from the experimental results in this paper. the rigorous palmprint authentication results presented in this paper are the best in the literature and confirm the utility of significant information that can be extracted from the imposter scores. the statistical estimation of confidence level for the palmprint matching requires an excellent match between the theoretical distribution and the real score distribution. the performance analysis presented in this paper, from over 29.96 million imposter matching scores, suggests that Beta-Binomial function can more accurately model the distribution of real palmprint matching scores.

关键词： Authentication

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An Algebraic Framework for Discrete Basis Functions in computer vision

An Algebraic Framework for Discrete Basis Functions in Compu...

引用

6th indian conference on computer vision, graphics and image processing

作者： O'Leary, Paul Harker, Matthew Univ Min & Met Leoben Inst Automat A-8700 Leoben Austria

ISBN: (纸本)9781424442195

this paper presents a fundamentally new algebraic approach to the analysis and synthesis of discrete orthogonal basis functions. It provides the theoretical background to unify Fourier Gabor and discrete orthogonal polynomial moments. For the first time, a set of objective tests are proposed to measure the quality of basis functions. It consists of two main sections: the theoretical background on the generation and orthogonalization of basis functions together with a new solution for the computation of spectra from incomplete data, as well as the implementation of interpolation for all orthogonal basis functions;a new approach to discrete orthogonal polynomials, proving that there is one and only one unitary discrete polynomial basis. Furthermore, the concept of anisotropic moments is introduced and applied to 2D seismic data, which is an image processing problem. the new polynomial basis is numerically better conditioned than the discrete cosine transform. this opens the door to new image compression algorithms, offering a higher compression ratio than the well known JPEG method, for the same numerical effort.

关键词： Polynomials

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Explosion Simulation Using Compressible Fluids

Explosion Simulation Using Compressible Fluids

引用

6th indian conference on computer vision, graphics and image processing

作者： Golas, Abhinav Khan, Akram Kalra, Prem Kumar, Subodh Indian Inst Technol Dept Comp Sci Delhi India

ISBN: (纸本)9781424442195

We propose a novel physically based method to simulate explosions and other compressible fluid phenomena. the method uses compressible Navier Stokes equations for modeling the explosion with a Semi-Lagrangian integration method. the proposed integration method addresses the issues of stability and larger timesteps. this is achieved by modifying the Semi-Lagrangian method to reduce dissipation and increase accuracy, using improved interpolation and an error correction method. the proposed method allows the rendering of related phenomena like a fireball, dust and smoke clouds, and the simulation of solid interaction like rigid fracture and rigid body simulation. Our method is flexible enough to afford substantial artistic control over the behavior of the explosion.

关键词： Navier Stokes equations

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Implementation of the "Local Rank Differences" image Feature Using SIMD Instructions of CPU

Implementation of the "Local Rank Differences" Image Feature...

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6th indian conference on computer vision, graphics and image processing

作者： Herout, Adam Zemcik, Pavel Juranek, Roman Hradis, Michal Brno Univ Technol Graph FIT Brno Czech Republic

ISBN: (纸本)9781424442195

Usage of statistical classifiers, namely AdaBoost and its modifications, in object detection and pattern recognition is a contemporary and popular trend the computatiponal performance of these classifiers largely depends on low level image features they are using: both from the point of view of the amount of information the feature provides and the executional time of its evaluation. Local Rank Difference is an image feature that is alternative to commonly used Haar features. It is suitable for implementation in programmable (FPGA) or specialized (ASIC) hardware as well as graphics hardware (GPU). Additionally, as shown in this paper, it performs very well on common CPU's. the paper discusses the LRD features and their properties, describes an experimental implementation of LRD using the multimedia instruction set of current general-purpose processors, presents its empirical performance measures compared to alternative approaches, and suggests several notes on practical usage of LRD and proposes directions for future work.

关键词： Adaptive boosting

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Degraded Document image Enhancement using Hybrid thresholding and Mathematical Morphology

Degraded Document Image Enhancement using Hybrid Thresholdin...

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6th indian conference on computer vision, graphics and image processing

作者： Babu, Nija Preethi, N. G. Shylaja, S. S. PES Inst Technol Dept Comp Sci & Engn Bangalore Karnataka India

ISBN: (纸本)9781424442195

the paper presents a hybrid thresholding approach for binarization and enhancement of degraded documents. Historical documents contain information of great cultural and scientific value. But such documents are frequently degraded over time. Digitized degraded documents require specialized processing to remove different kinds of noise and to improve readability. the approach for enhancing degraded documents uses a combination of two thresholding algorithms. First, iterative global thresholding is applied to the smoothed degraded image until the stopping criteria is reached then a threshold selection method from gray level histogram is used to binarize the image. the next step is detecting areas where noise still remains and applying iterative thresholding locally. A method to improve the quality of textual information in the document is also done as a post processing stage, thus making the approach efficient and better suited for character recognition applications.

关键词： Character recognition

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A Framework for Analysis of \Surveillance Videos

A Framework for Analysis of \Surveillance Videos

引用

6th indian conference on computer vision, graphics and image processing

作者： Choudhary, Ayesha Chaudhury, Santanu Banerjee, Subhashis Indian Inst Technol Dept Comp Sci & Engn Delhi India Indian Inst Technol Dept Elect Engn Delhi India

ISBN: (纸本)9781424442195

In this paper, we propose a novel framework for automated analysis of surveillance videos. By analysis, we imply summarizing and mining of the information in the video for learning usual patterns and discovering unusual ones. We approach this video analysis problem by acknowledging that a video contains information at multiple levels and in multiple attributes. Each such component and co-occurrences of these component values play an important role in characterizing an event as usual or unusual. therefore, we cluster the video data at multiple levels of abstraction and in multiple attributes and view these clusters as a summary of the information in the video. We apply cluster algebra to mine this summary from multiple perspectives and to adapt association learning for automated selection of components because of which the event is unusual. We also propose a novel incremental clustering algorithm.

关键词： Clustering algorithms

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Animation Geometry Compression using the Linear Discriminant Analysis

Animation Geometry Compression using the Linear Discriminant...

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6th indian conference on computer vision, graphics and image processing

作者： Vamsidhar, A. R. Bora, P. K. Das, Sanjib Indian Inst Technol Guwahati Dept Elect & Commun Engn Gauhati 781039 India

ISBN: (纸本)9781424442195

We propose a new method to compress the geometry component of 3D animation sequence. It is based on the Linear Discriminant Analysis (LDA) of the animation geometry data. the redundancy across the animation frames has been exploited by using the LDA in the temporal direction. Owing to the redundancy between the frames of a class, the covariance matrix of that class for the LDA computation may become singular. To overcome this drawback, we first transform the data into a new basis using the Principal Component Analysis (PCA) and then apply the LDA on a few principal components. the reconstruction is simple and involves two stages: firstly for the LDA and then for the PCA. the experimental results show that the proposed method has the advantage of better reconstruction error at high compression ratios.

关键词： Animation

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Document image Segmentation as a Spectral Partitioning Problem

Document Image Segmentation as a Spectral Partitioning Probl...

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6th indian conference on computer vision, graphics and image processing

作者： Dasigi, Praveen Jain, Raman Jawahar, C. V. IIIT Hyderabad Ctr Visual Informat Technol Hyderabad 500032 Andhra Pradesh India

ISBN: (纸本)9781424442195

State of art document segmentation algorithms employ adhoc solutions which use some document properties and iteratively segment the document image. these solutions need to be adapted frequently and sometimes fail to perform well for complex scripts. this calls for a generalized solution that achieves a one shot segmentation that is globally optimal. this paper describes one such solution based on the optimization problem of spectral partitioning which makes the decision of proper segmentation based on the Spectral properties of the pairwise similarity matrix. the solution described in the paper is shown to be general, global and closed form. the claims have been demonstrated on 142 page images from a Telugu book, in a script set in both poetry and prose layouts. this particular class of scripts has been proved to be challenging for the existing state of the art algorithms, where the proposed solution achieves significant results.

关键词： Iterative methods

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High Speed and Memory Efficient Parallel Bit Plane Coding Architecture for JPEG2000

High Speed and Memory Efficient Parallel Bit Plane Coding Ar...

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6th indian conference on computer vision, graphics and image processing

作者： Suman, Tenugu Chatterjee, Sumit Kumar Chakrabarti, Indrajit Indian Inst Technol Dept Elect & Elect Commun Engn Kharagpur 721302 W Bengal India

ISBN: (纸本)9781424442195

Bit Plane coding (BPC) constitutes an important component of the EBCOT Tier-1 block of JPEG2000 encoder. this paper proposes an efficient parallel hardware structure to implement the computation intensive word level bit plane coding algorithm. the proposed architecture computes the context and decision for all bit planes in parallel. the three coding passes are merged for all bit planes in a scan while the samples are coded in sequence. the proposed parallel BPC architecture offers a speed of 31 over the serial BPC architecture. Its memory requirement is independent of the size of the codeblock. the speed of the proposed architecture has been shown to be significantly faster than an architecture which has been recently reported in literature. the system architecture has been functionally verified by ModelSim and synthesized by TSMC 0.25 mu m vtvt CMOS cell libraries.

关键词： bit plane coding JPEG2000 encoder codeblock parallel architecture

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