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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"

共 1494 条记录，以下是91-100 订阅

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Effect of Writer Information on Bangla Handwritten Character Recognition 5

Effect of Writer Information on Bangla Handwritten Character...

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5th National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Halder, Chayan Obaidullah, Sk Md Roy, Kaushik West Bengal State Univ Dept Comp Sci Kolkata 700126 WB India Aliah Univ Dept Comp Sci & Engn Kolkata WB India

ISBN: (纸本)9781467385640

Handwritten character recognition has various potential in the field of document image processing. It is one of the important aspects for systems like handwritten optical character recognizer, writer identification/verification, automatic document sorter etc. In Bangla only few attempts are made towards character recognition. In this current study a relatively new attempt is made towards finding the dependency of writer information on character recognition by varying the inputs. This study will provide a better understanding of the input data for character recognition. Also it will help to know the Bangla characters better for writer identification/verification. Here, highest accuracy of 100% is achieved in case of numeral 7 applying LibSVM classifier.

关键词： Bangla Character Recognition LibSVM LibLIN-EAR Writer Dependency Histogram gradient based feature

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Tri-Modal Biometric Fusion for Human Authentication by Tracking Differential Code Pattern 5

Tri-Modal Biometric Fusion for Human Authentication by Track...

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5th National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Nigam, Aditya Gupta, Phalguni Indian Inst Technol Mandi Sch Comp & Elect Engn Mandi 175001 India NITTTR CSE Dept Kolkata 700106 India

ISBN: (纸本)9781467385640

Human authentication can now be seen as a crucial social problem. In this paper a multimodal authentication system is presented which is highly reliable and fuses iris, finger-knuckleprint and palmprint image matching scores. Segmented ROI are preprocessed using DCP (Differential Code Pattern) to obtain robust corner features. Later they are matched using the GOF (Global Optical Flow) based dissimilarity measure. The proposed system has been tested on Casia Interval and Lamp iris, PolyU finger-knuckle-print and PolyU and Casia palmprint, public databases. The proposed system has shown good performance over all unimodal databases while over multimodal (fusion of all three) databases it has shown perfect performance (i:e: CRR = 100% with EER = 0%).

关键词： Database systems

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Real Time Saliency Detection in Videos using Motion Field Entropy 5

Real Time Saliency Detection in Videos using Motion Field En...

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5th National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Konda, Krishna Reddy Bharadwaj, Harish S. Ramakrishnan, Kalpathi R. IISc Bangalore Dept Elect Engn Bangalore Karnataka India

ISBN: (纸本)9781467385640

In this paper we propose a novel real time video sailency detection algorithm based on disorder in Motion Field. The proposed algorithm operates on the basic premise that higher disorder pertains to higher information in the scene. Based on the quantified value of the disorder, salient areas in the video frame are demarcated. In order to achieve real time operational capability, the algorithm operates in compressed H.264 domain rather than in pixel domain. The proposed algorithm has been evaluated on standard video sequences and results on real time video surveillance data are also presented.

关键词： H.264 motion detection saliency compressed domain

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Digital image Tampering Detection and Localization Using Singular Value Decomposition Technique

Digital Image Tampering Detection and Localization Using Sin...

引用

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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A Fractional Order Total Variation Model for the Estimation of Optical Flow 5

A Fractional Order Total Variation Model for the Estimation ...

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5th National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Kumar, Pushpendra Kumar, Sanjeev Balasubramanian, R. IIT Roorkee Dept Math Roorkee 247667 Uttar Pradesh India IIT Roorkee Dept Comp Sci & Engn Roorkee 247667 Uttar Pradesh India

ISBN: (纸本)9781467385640

In this paper, a fractional order total variation (TV) model is presented for estimating the optical flow in the image sequences. The proposed fractional order model is introduced by generalizing a variational flow model formed with a quadratic and a total variation terms. However, it is difficult to solve this generalized model due to the non-differentiability of the total variation regularization term. The Grunwald-Letnikov derivative is used to discretize the fractional order derivative. The resulting formulation is solved by using an efficient numerical algorithm. The experimental results verify that the proposed model yields a dense flow and preserves discontinuities in the flow field. Moreover, It also provides a significant robustness against outliers.

关键词： Fractional derivative image sequence Optical flow Total variation regularization

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Robust Video Watermarking Resilient to Temporal Scalability 5

Robust Video Watermarking Resilient to Temporal Scalability

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5th National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Sahu, Nilkanta Tiwari, Vivek Sur, Arijit IIT Guwahati Dept CSE Gauhati 781039 India

ISBN: (纸本)9781467385640

In this paper, an uncompressed domain video watermarking scheme resilient to temporal adaptation is proposed for scalable video coding. In the proposed scheme, each temporal layer has been separately embedded with a different watermark which is generated by DCT domain decomposition of a single watermark image. A zigzag sequence of block wise DCT coefficients of the watermark image is partitioned into non-overlapping sets and each set is embedded separately into different temporal layers. The base layer is embedded with the first set of DCT coefficient (which includes DC coefficient of each block) and successive layers are embedded with successive nonoverlapping coefficient sets. The coefficients of each set is chosen in such a fashion that uniform energy distribution across all temporal layers can be maintained. Experimental results show that the proposed scheme is robust against temporal scalability and robustness of the watermark increases with the addition of successive enhancement layers.

关键词： Scalability

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Single Shot High Dynamic Range Imaging using Histogram Separation and Exposure Fusion 5

Single Shot High Dynamic Range Imaging using Histogram Separ...

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5th National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Johnson, Anoop K. Jiji, C. V. Mar Baselios Coll Engn & Technol Dept Elect & Commun Engn Trivandrum Kerala India Coll Engn Dept Elect & Commun Engn Trivandrum Kerala India

ISBN: (纸本)9781467385640

Conventionally, High Dynamic Range (HDR) images are generated by fusing multiple exposure Low Dynamic Range (LDR) images, where the HDR output often suffers from artifacts due to misalignment of camera and presence of dynamic objects in the scene. An efficient approach to overcome these issues is to use single shot HDR imaging. In this paper, we propose a method for generating an HDR image from a single LDR image. We first generate multiple exposures of the given scene using histogram separation by adopting varying bin sizes. The resulting LDR images are fused making use of the quality measures such as contrast, saturation and well - exposedness. The results show the effectiveness of the proposed approach which is verified qualitatively and in terms of various quantitative measures.

关键词： Graphic methods

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High Quality Depth Map Estimation by Kinect Upsampling and Hole Filling using RGB Features and Mutual Information

High Quality Depth Map Estimation by Kinect Upsampling and H...

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

作者： Chahal, Nidhi Chaudhury, Santanu Indian Inst Technol Dept Elect Engn Delhi India

ISBN: (纸本)9781479915880

High quality depth map estimation is required for better visualization of 3D views as there is great impact of depth map quality on overall 3D image quality. If the depth is estimated from conventional ways using two or more images, some defects come into picture, mostly in regions without texture. We utilised Microsoft Kinect RGBD dataset to obtain input color images and depth maps which also includes some noise factors. We proposed a method to remove this noise and get quality depth images. First the color and depth images are aligned to each other using intensity based image registration. This method of image alignment is mostly used in medical field, but we applied this technique to correct kinect depth maps by which one can avoid cumbersome task of feature based point correspondence between images. There is no requirement of preprocessing or segmentation steps if we use intensity based image alignment method. Second, we proposed an algorithm to fill the unwanted gaps in kinect depth maps and upsampled it using corresponding high resolution color image. Finally we applied 9x9 median filtering on implementation results and get high quality and improved depth maps.

关键词： image registration mutual information geometric transformations

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An Enhanced Decision Based Unsymmetric Trimmed Median Filter For Removal of High Density Salt and Papper Noise 5

An Enhanced Decision Based Unsymmetric Trimmed Median Filter...

引用

5th National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Singh, Shruti Tiwari, Anil Kumar LNM Inst Informat Technol Jaipur Rajasthan India Indian Inst Technol Jodhpur Jodhpur Rajasthan India

ISBN: (纸本)9781467385640

This paper proposes a new algorithm for restoration of gray scale images corrupted by salt and pepper noise(SPN). The proposed algoritm identifies a pixel as noisy if its intensity value is 0 or 255 and processes it using pixels in a 3 x 3 window. If the window consists of noisy and non-noisy pixels, then the pixel to be processed is replaced with the trimmed median value of the non-noisy pixels. However, if only noisy pixels are there in the window then their mean value is used to process the pixel. The proposed method uses processed (i.e. the de-noised) pixels in the window while processing the noisy pixels and shows significantly better performance, particularly at high noise density, as compared to various methods reported in literature. Experimental results show improvements both visually and quantitatively compared to other reported methods.

关键词： Impulse noise salt and pepper noise image de-noising Median filter asymmetric trimmed median filter Decision based filter

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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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