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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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proceedings - 8th indian conference on computer vision, graphics and image processing, ICVGIP 2012

Proceedings - 8th Indian Conference on Computer Vision, Grap...

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8th indian conference on computer vision, graphics and image processing, ICVGIP 2012

ISBN: (纸本)9781450316606

The proceedings contain 81 papers. The topics discussed include: are buildings only instances? exploration in architectural style categories;geometry directed browser for personal photographs;heritage app: annotating images on mobile phones;content level access to digital library of India pages;large-scale statistical modeling of motion patterns: a Bayesian non-parametric approach;salient object detection using a fuzzy theoretic approach;a finite mixture model based on pair-copula construction of multivariate distributions and its application to color image segmentation;local appearance based robust tracking via sparse representation;semi-supervised multiple instance learning based domain adaptation for object detection;a grammar-based GUI for single view reconstruction;accelerating non-local denoising with a patch based dictionary;and viewpoint based mobile robotic exploration aiding object search in indoor environment.

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Design of Manipuri Keywords Spotting System using HMM

Design of Manipuri Keywords Spotting System using HMM

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2013 4th National conference on computer vision, Pattern Recognition, image processing and graphics, NCVPRIPG 2013

作者： Rahul, Laishram Nandakishor, Salam Joyprakash Singh, L. Dutta, S.K. Speech and Image Processing Laboratory Department of ECE NEHU Shillong - 793 022 India

ISBN: (纸本)9781479915880

This paper aims to discuss the implementation of phoneme based Manipuri Keyword Spotting System (MKWSS). Manipuri is a scheduled indian language of Tibeto- Burman origin. Around 5 hours of read speech are collected from 4 male and 6 female speakers for development of database of MKWSS. The symbols of International Phonetic Alphabet (IPA)(revised in 2005) are used during the transcription of the data. A five state left to right Hidden Markov Model (HMM) with 32 mixture continuous density diagonal covariance Gaussian Mixture Model (GMM) per state is used to build a model for each phonetic unit. We have used HMM tool kit (HTK), version 3.4 for modeling the system. The system can recognize 29 phonemes and a non-speech event (silence) and will detect the present keywords formed by these phonemes. Continuous Speech data have been collected from 5 males and 8 females for analysing the performance of the system. The performance of the system depends on the ability of detection of the keywords. An overall performance of 65.24% is obtained from the phoneme based MKWSS. © 2013 IEEE.

关键词： Hidden Markov models

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indian Movie Face Database: A benchmark for face recognition under wide variations

Indian Movie Face Database: A benchmark for face recognition...

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2013 4th National conference on computer vision, Pattern Recognition, image processing and graphics, NCVPRIPG 2013

作者： Setty, Shankar Husain, Moula Beham, Parisa Gudavalli, Jyothi Kandasamy, Menaka Vaddi, Radhesyam Hemadri, Vidyagouri Karure, J.C. Raju, Raja Rajan, B. Kumar, Vijay Jawahar, C.V. BVBCET Hubli India Vickramce MDU India CVIT IIITH India TCE India SDM Dharwad India PSYEC India

ISBN: (纸本)9781479915880

Recognizing human faces in the wild is emerging as a critically important, and technically challenging computer vision problem. With a few notable exceptions, most previous works in the last several decades have focused on recognizing faces captured in a laboratory setting. However, with the introduction of databases such as LFW and Pubfigs, face recognition community is gradually shifting its focus on much more challenging unconstrained settings. Since its introduction, LFW verification benchmark is getting a lot of attention with various researchers contributing towards state-of-the-results. To further boost the unconstrained face recognition research, we introduce a more challenging indian Movie Face Database (IMFDB) that has much more variability compared to LFW and Pubfigs. The database consists of 34512 faces of 100 known actors collected from approximately 103 indian movies. Unlike LFW and Pubfigs which used face detectors to automatically detect the faces from the web collection, faces in IMFDB are detected manually from all the movies. Manual selection of faces from movies resulted in high degree of variability (in scale, pose, expression, illumination, age, occlusion, makeup) which one could ever see in natural world. IMFDB is the first face database that provides a detailed annotation in terms of age, pose, gender, expression, amount of occlusion, for each face which may help other face related applications. © 2013 IEEE.

关键词： Face recognition

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Expert system design for cotton harvesting using shape and fractal features

Expert system design for cotton harvesting using shape and f...

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2013 International conference on image processing, computer vision, and Pattern Recognition, IPCV 2013, at WORLDCOMP 2013

作者： Bhattacharya, Mahua Verma, Medhabi Shukla, Vivek Kohli, S.S. Rajan, P. Dept. of Information Communication Technology Indian Institute of Information Technology and Management Gwalior474010 India Department of Science and Technology Ministry of Science and Technology New Mehrauli Road New Delhi India CSIR CMERI Centre of Excellence for Farm Machinery Gill Road Ludhiana India

ISBN: (纸本)1601322534

In present work authors have proposed methods based on machine vision for cotton boll plucking systems. We have used shape based features and also have used fractal features to study the level of maturity of the cotton boll to take a computer controlled decision to drive a electromechanical system. This will finally provide an expert system to find the decision regarding the maturity of the cotton boll. Based on this decision an electro mechanical system will be designed to perform the task of cotton boll picking. © 2013 CSREA Press. All rights reserved.

关键词： computer vision

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Emerging Intelligent Computing Technology and Applications: 9th International conference, ICIC 2013, Nanning, China, July 28-31, 2013. proceedings 1

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丛书名： Communications in computer and Information Science 375

2013年

作者： Zhifeng Hao, Jinlong Huang, Ruichu Cai, Wen Wen (auth.), De-Shuang Huang, Phalguni Gupta, Ling Wang, Michael Gromiha (eds.)

ISBN: (数字)9783642396786

ISBN: (纸本)9783642396779;9783642396786

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.

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Psychovisual saliency in color images

Psychovisual saliency in color images

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

作者： Soumyajit Gupta Rahul Agrawal Ritwik Layek Jayanta Mukhopadhyay Dept. of Electronics and Electrical Communication Engineering Indian Institute of Technology Kharagpur Dept. of Computer Science and Engineering Indian Institute of Technology Kharagpur

Visual attention is an indispensable component of complex vision tasks. When looking at a complex scene, our ocular perception is confronted with a large amount of data that needs to be broken down for processing by our psychovisual system. Selective visual attention provides a mechanism for serializing the visual data, allowing for sequential processing of the content of the scene. A Bottom-Up computational model is described that simulates the psycho-visual model of saliency based on features of intensity and color. The method gives sequential priorities to objects which other computational models cannot account for. The results demonstrate a fast execution time, full resolution maps and high detection accuracy. The model is applicable on both natural and artificial images.

关键词： image color analysis Visualization Standards Computational modeling Real-time systems image resolution Colored noise

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An OCR system for the Meetei Mayek script

An OCR system for the Meetei Mayek script

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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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Parallel mesh regularization and resampling algorithm for improved mesh registration

Parallel mesh regularization and resampling algorithm for im...

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

作者： Sumandeep Banerjee Somnath Dutta Prabir Kumar Biswas Partha Bhowmick Department of Electronics and Electrical Communication Engineering Department of Computer Science and Engineering Indian Institute of Technology Kharagpur

In this paper, we present a fast and efficient algorithm for regularization and resampling of triangular meshes generated by 3D reconstruction methods such as stereoscopy, laser scanning etc. We also present a scheme for efficient parallel implementation of the proposed algorithm and the time gain with increasing number of processor cores.

关键词： Three-dimensional displays Face Instruction sets Interpolation Equations Parallel algorithms Cameras

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A novel framework for multi-focus image fusion

A novel framework for multi-focus image fusion

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

作者： Gaurav Bhatnagar Q.M. Jonathan Wu Indian Institute of Technology Jodhpur Jodhpur Rajasthan India University of Windsor Windsor ON Canada

One of the foremost requisite for human perception and computer vision task is to get an image with all objects in focus. The image fusion process, as one of the solutions, allows getting a clear fused image from several images acquired with different focus levels of a scene. In this paper, a novel framework for multi-focus image fusion is proposed, which is computationally simple since it realizes only in the spatial domain. The proposed framework is based on the fractal dimensions of the images into the fusion process. The extensive experiments on different multi-focus image sets demonstrate that it is consistently superior to the conventional image fusion methods in terms of visual and quantitative evaluations.

关键词： image fusion Fractals Measurement Wavelet transforms Principal component analysis image quality

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Off-line skilled forgery detection on handwritten Devanagri script

Off-line skilled forgery detection on handwritten Devanagri ...

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

作者： Nivedita Yadav Santanu Chaudhury Prem Kalra Amarnath and Shashi Khosla School of IT Indian Institute of Technology Delhi India Dept of Electrical Engineering Indian Institute of Technology Delhi India Dept of Computer Science and Engineering Indian Institute of Technology Delhi India

This paper is aimed at exploring the potential of using discriminatory primitives containing words for the task of detecting skilled forgeries. We consider handwritten Devanagri documents for this work. We have obtained experimental handwriting data from subjects who have contributed handwriting samples in their natural handwriting. Other authors are asked to imitate the writing style of the subjects to produce a skilled forgery sample. Most of the literature dealing with writer recognition focus on signatures and very few reports have addressed the problem of detecting forgeries for handwritten indian scripts. We also use multiple words based classification for the targeted task of forgery detection. Our experiments show encouraging results.

关键词： Forgery Shape Feature extraction Histograms Forensics Accuracy Writing

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