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

共 2018 条记录，以下是1401-1410 订阅

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Lip Tracking under Varying Expressions Utilizing Domain Knowledge

Lip Tracking under Varying Expressions Utilizing Domain Know...

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

作者： Agarwal, Swapna Mukherjee, Dipti Prasad Indian Stat Inst Kolkata 700108 India

ISBN: (纸本)9781479915880

In recent years the need of a robust facial component tracking especially lip tracking algorithm has increased dramatically. We implement an active contour (snake) model inspired by human perception for lip tracking. In addition to the conventional energy terms for tension, rigidity (internal energy) and gradient magnitude (external energy) we propose to include energy terms from domain knowledge for lip shape constraint and local region profile constraint. Generalized deterministic annealing (GDA) update of the energy functional helps the solution to escape suboptimal local minima in the energy space and give better tracking result. Experimental results show that the proposed method efficiently adapts to the highly deformable lip boundaries even for lips with indistinct edges and colored (adorned) lips where gradient magnitude based or local region based tracking methods respectively fail. We have done a number of experiments to evaluate the performance of our method in comparison with the existing state-of-the-art methods.

关键词： lip domain knowledge tracking

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Automatic Number Plate Recognition system using modified Stroke Width Transform

Automatic Number Plate Recognition system using modified Str...

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

作者： Jobin, K. V. Jiji, C. V. Anurenjan, P. R. Coll Engn Trivandrum Trivandrum Kerala India

ISBN: (纸本)9781479915880

Automatic number plate recognition(ANPR) techniques occupy a significant role in intelligent traffic management systems. Most of the existing ANPR systems do not perform well under conditions like high vehicle speed, varying illuminations, changing back ground etc. In this paper we propose an ANPR technique which efficiently solves the above issues using the stroke width transform. In our method, first we pre-process the image to remove blurring artifacts. then the significant edges in the image are detected and a new image is formed by grouping the connecting rays. this is followed by morphological processing which detects the letters in the image. then an appropriate Optical Character Recognizer (OCR) recovers the final result. Experimental results show that the proposed method work effectively under varying light conditions and even in the presence of shadows.

关键词： Intelligent traffic management system License plates edge image morphological processing imagery (Psychotherapy) images Vehicle speed shadows letter recognition system image Transform Advanced traffic management systems(ATMS) passenger transportation management system Stroke

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Tsallis and Renyi's Embedded Entropy based Mutual Information for Multimodal image Registration

Tsallis and Renyi's Embedded Entropy based Mutual Informatio...

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

作者： Sahoo, Subhaluxmi Nanda, P. K. Samant, Sunita Siksha O Anusandan Univ Inst Tech Educ & Res Dept Elect & Instrumentat Engn Bhubaneswar 751030 Orissa India

ISBN: (纸本)9781479915880

In this paper, an embedded entropy based image registration scheme has been proposed. Here, Tsallis and Renyi's entropy have been embedded to form a new entropic measure. this parametrized entropy has been used to determine the weighted mutual information (MI) for the CT and MR brain images. the embedded mutual information has been maximized to obtain registration. this notion of embedded mutual information has also been validated in feature space registration. the mutual information with respect to the registration parameter has been found to be a nonlinear curve. It has been found that the feature space registration resulted in higher value mutual information and hence registration process could be smoother. We have used Simulated Annealing algorithm to determine the maximum of this embedded mutual information and hence register the images.

关键词： Embedded Entropy Mutual Information and image Registration

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Mesh Denoising by Improved 3D Geometric Bilateral Filter

Mesh Denoising by Improved 3D Geometric Bilateral Filter

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

作者： Dutta, Somnath Banerjee, Sumandeep Biswas, Prabir Kumar Bhowmick, Partha Indian Inst Technol Kharagpur Dept Elect & Elect Commun Engn Kharagpur W Bengal India Indian Inst Technol Kharagpur Dept Comp Sci & Engn Kharagpur W Bengal India

ISBN: (纸本)9781479915880

We present an improved mesh denoising method based on 3D geometric bilateral filtering. Its novelty is that it can preserve the details of the object as well as reduce the noise in an effective manner. the previous approach of geometric bilateral filtering for 3D-scan points has a limitation that it reduces the point density, thereby losing the details present in the object. the approach proposed by us, on the contrary, works on the surface mesh obtained after triangulating the 3D-scan points without any data downsampling. Each vertex of the mesh is repositioned appropriately based on the estimated centroid of the vertices in its local neighborhood and a Gaussian weight function. Experimental results demonstrate its strength, efficiency, and robustness.

关键词： Medical Subject Headings dot density bilateral filtering Mesh Noise reduction bilateral filters Mesh Novelty vertex head

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Digital image Tampering Detection and Localization Using Singular Value Decomposition Technique

Digital Image Tampering Detection and Localization Using Sin...

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

作者： Mall, Vinod Roy, Anil K. Mitra, Suman K. Dhirubhai Ambani Inst Informat & Commun Technol Gandhinagar 382007 Gujarat India

ISBN: (纸本)9781479915880

Recent years have witnessed an exponential growth in the use of digital images due to development of high quality digital cameras and multimedia technology. Easy availability of image editing software has made digital image processing very popular. Ready to use software are available on internet which can be easily used to manipulate the images. In such an environment, the integrity of the image can not be taken for granted. Malicious tampering has serious implication for legal documents, copyright issues and forensic cases. Researchers have come forward with large number of methods to detect image tampering. the proposed method is based on hash generation technique using singular value decomposition. Design of an efficient hash vector as proposed will help in detection and localization of image tampering. the proposed method shows that it is robust against content preserving manipulation but extremely sensitive to even very minute structural tampering.

关键词： image Tampering Hash function Singular value decomposition Watermaking Content preserving manipulation Tampering detection Tampering localization Similarity value

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Word Recognition in Natural Scene and Video images using Hidden Markov Model

Word Recognition in Natural Scene and Video Images using Hid...

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

作者： Roy, Sangheeta Roy, Partha Pratim Shivakumara, Palaiahnakote Pal, Umapada Tata Consultancy Serv Kolkata India Indian Stat Inst CVPR Unit Kolkata India Univ Malaya Kuala Lumpur Malaysia

ISBN: (纸本)9781479915880

Text recognition from a natural scene and video is challenging compared to that in scanned document images. this is due to the problems of text on different sources of various styles, font variation, font size variations, background variations, etc. there are approaches for word segmentation from video and scene images to feed the word image into OCRs. Nevertheless, such methods often fail to yield satisfactory results in recognition. therefore, in this paper, we propose to combine Hidden Markov Model (HMM) and Convolutional Neural Network (CNN) to achieve good recognition rate. Sequential gradient features with HMM help to find character alignment of a word. Later the character alignments are verified by Convolutional Neural network (CNN). the approach is tested on both video and scene data to show the effectiveness of the proposed approach. the results are found encouraging.

关键词： Hidden Markov models Videotapes word recognition natural scenes Printed text recognition images document image Word FONT

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Fast Moving- Object Detection in H.264/AVC Compressed Domain for Video Surveillance

Fast Moving- Object Detection in H.264/AVC Compressed Domain...

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

作者： Tom, Manu Babu, R. Venkatesh Indian Inst Sci SERC Video Analyt Lab Bangalore 560012 Karnataka India

ISBN: (纸本)9781479915880

this paper discusses a novel fast approach for moving object detection in H.264/AVC compressed domain for video surveillance applications. the proposed algorithm initially segments out edges from regions with motion at macroblock level by utilizing the gradient of quantization parameter over 2D-image space. A spatial median filtering of the segmented edges followed by weighted temporal accumulation accounts for whole object segmentation. To attain sub-macroblock (4 x 4) level precision, the size of macroblocks (in bits) is interpolated using a two tap filter. Partial decoding rules out the complexity involved in full decoding and gives fast foreground segmentation results. Compared to other compressed domain techniques, the proposed approach allows the video streams to be encoded with different quantization parameters across macroblocks thereby increasing flexibility in bit rate adjustment.

关键词： Motion Segmentation Compressed Domain H.264/AVC Video Surveillance QP-delta

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An Optimized Derivative Projection Warping Approach For Moving Platform Video Stabilization

An Optimized Derivative Projection Warping Approach For Movi...

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

作者： Shukla, Deepika Jha, Rajib Kumar Indian Inst Informat Technol Design & Mfg Jabalpu Elect & Commun Engn Jabalpur 482005 India Indian Inst Technol Dept Elect Engn Patna 800013 Bihar India

ISBN: (纸本)9781479915880

this paper presents an optimized and efficient video stabilization technique based on projection curve warping. In most of the recorded videos, the relative displacement between two consecutive frames goes from 3-4 pixel for hand-held and 25-30 for moving platform applications. Based on this experimental data, the use of Sakoe-Chiba band with fixed window size has been proposed for constraining distance matrix estimation, in the dynamic time warping algorithm. In the existing projection based stabilization techniques, intensity values are matched for motion estimation. Any change in the local intensity values either induced due to intensity variation, moving objects or scene variation, causes error in the estimated motion. To overcome this problem, a higher level feature i.e. shape of the projection curve has been incorporated by matching the local derivative of curve instead of the intensity values itself. Robustness and time efficiency of the proposed technique is measured in terms of interframe transformation fidelity and processing time respectively.

关键词： Sakoe-Chiba band dynamic time warping motion estimation video stabilization ITF

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Multiscale Noise-Adaptive Homomorphic Filtering based Speckle Denoising in Laser Speckle Imaging

Multiscale Noise-Adaptive Homomorphic Filtering based Speckl...

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

作者： Basak, Kausik Mahadevappa, Manjunatha Dutta, Pranab Kumar Indian Inst Technol Sch Med Sci & Technol Kharagpur 721302 W Bengal India Indian Inst Technol Dept Elect Engn Kharagpur 721302 W Bengal India

ISBN: (纸本)9781479915880

Speckle pattern forms as a result of constructive and destructive interference due to the phase difference involved in multiple backscattered photons. In coherent optical probing, speckle has a dual role as an insidious form of noise as well as a source of information for sample microstructure. this paper focuses on designing of a multiscale noise adaptive homomorphic filter (MNAHF) for speckle noise reduction (keeping the signal-carrying speckle) in laser speckle imaging (LSI). the operation has been performed based on the calculation of local statistics within a sliding window region over a successive number of time frames. It has been shown that MNAHF outperforms other speckle denoising filters from the point of image quality assessment and better visualization. It exhibits lower mean square error and Minkowski metric values with better image quality, intact structural similarity and superior signal to noise ratio relative to others. therefore, over a wider spectrum, this work brings out the scope of speckle noise reduction prior to further large scale processing for automated segmentation, texture analysis and image based classification techniques in clinical study of laser speckle images.

关键词： Laser speckle optical imaging spatial filtering speckle denoising homomorphic filter

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Enhancement of Camera Captured Text images with Specular Reflection

Enhancement of Camera Captured Text Images with Specular Ref...

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

作者： Visvanathan, Aishwarya Chattopadhyay, T. Bhattacharya, Ujjwal Kolkata Tata Consultancy Serv Ltd Innovat Lab Kolkata India Indian Stat Inst CVPR Unit Kolkata India

ISBN: (纸本)9781479915880

Specular reflection of light degrades the quality of scene images. Whenever specular reflection affects the text portion of such an image, its readability is reduced significantly. Consequently, it becomes difficult for an OCR software to detect and recognize similar texts. In the present work, we propose a novel but simple technique to enhance the region of the image with specular reflection. the pixels with specular reflection were identified in YUV color plane. In the next step, it enhances the region by interpolating possible pixel values in YUV space. the proposed method has been compared against a few existing general purpose image enhancement techniques which include (i) histogram equalization, (ii) gamma correction and (iii) Laplacian filter based enhancement method. the proposed approach has been tested on some images from ICDAR 2003 Robust Reading Competition image database. We computed a Mean Opinion Score based measure to show that the proposed method outperforms the existing enhancement techniques for enhancement of readability of texts in images affected by specular reflection.

关键词： specular reflection images mean opinion score intelligibility Refractive surgery enhancement texts Cameras YUV imagery (Psychotherapy)

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