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检索条件"任意字段=15th Indian Conference on Computer Vision Graphics and Image Processing"

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RST Invariant Multi View 3D image Watermarking Using DWT and SVD 5

RST Invariant Multi View 3D Image Watermarking Using DWT and...

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

作者： Gaj, Sibaji Rana, Shuvendu Lekharu, Anirban Sur, Arijit Bora, Prabin Kumar Indian Inst Technol Dept CSE Multimedia Lab Gauhati 781039 Assam India Indian Inst Technol Dept EEE Gauhati 781039 Assam India

ISBN: (纸本)9781467385640

In this paper, a multi-view stereo image watermarking scheme is proposed to resist the RST (rotation, scaling and translation) attack. To make the scheme resilient to RST, the coefficients of Singular Value Decomposition (SVD) from both left and right views have been used for insertion of the watermark bits. 2D-DWT (Discrete wavelet transform) is used as a preprocessing step to get more correlated SVD coefficients of the left and right view such that the visual degradation due to embedding can be reduced. In this work, a blind embedding scheme is proposed by altering the selected SVD coefficients to improve the robustness of the embedding scheme. A comprehensive set of experiments have been performed to justify the robustness of the proposed scheme against RST attack. Moreover, this scheme can be used to detect the view swapping attack using DIBR technique.

关键词： Singular value decomposition

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Spatial Variance of Color and Boundary Statistics for Salient Object Detection

Spatial Variance of Color and Boundary Statistics for Salien...

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

作者： Roy, Sudeshna Das, Sukhendu Indian Inst Technol Dept Comp Sci & Engn Visualizat & Percept Lab Madras 600036 Tamil Nadu India

ISBN: (纸本)9781479915880

Bottom-up saliency detection algorithms identify distinct regions in an image, with rare occurrence of local feature distributions. Notable among those works published recently, use local and global contrast, spectral analysis of the entire image or graph based feature mapping. Whereas, we propose a novel unsupervised method using color compactness and statistical modeling of the background cues, to segment the salient foreground region and thus the salient object. At the first stage of processing, the image is segmented into clusters using color feature. First component proposed for our saliency measure combines disparity in color and spatial distance between patches. In addition to rarity of feature, we propose another component for saliency computation that estimates the divergence of the color of a patch from those in the set of patches at the boundary of the image, representing the background. Combination of these two complementary components provides a much improved saliency map for salient object detection. We verify the performance of our proposed method of saliency detection on two popular benchmark datasets, with one or more salient regions and diverse saliency characteristics. Experimental results show that our method outperforms many existing state-of-the-art methods.

关键词： Object detection Color images imagery (Psychotherapy) color feature image boundary layer statistical models (nuclear) Patches Boundary

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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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Real-time Implementation of modified Adaptive Histogram Equalization for High Dynamic Range Infrared images in FPGA 5

Real-time Implementation of modified Adaptive Histogram Equa...

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

作者： Urimi, Uday Kumar Kongara, Mastan Rao Patil, C. R. BEL Bangalore Cent Res Lab Bangalore 5600013 Karnataka India

ISBN: (纸本)9781467385640

the performance of an Infrared imaging system is often measured by its Detection, Recognition and Identification (DRI) ranges. In thermal cameras, acquired images will be of high dynamic range (typically 15 bits) and lack adequate contrast. An Indium Antimonide (InSb) detector operating in 1-5 micron wavelength has responsivity of the order of 30m V /degrees K resulting in very low differential pixel values even after non-uniformity correction. Mapping the grey levels of high dynamic range thermal data (typically 15 bits) to invariably less dynamic range displays (typically 8 bits), without loss of information, is a challenging task. Hence, image enhancement technique that preserves all the information content and displays with proper contrast is inevitable. Conventional enhancement techniques like AGC, Histogram Equalization and their many variants have the tendency of generating excess noise and assigning more display dynamic range to the dominating temperature data while suppressing the non-dominating temperature data. In this paper, a new enhancement technique of modified Adaptive Histogram Equalization (AHE) is proposed with its real time implementation on FPGA for high dynamic range thermal data. Algorithm aims to retain information content of high dynamic range thermal data, with improved contrast, low noise while compressing the dynamic range to suit the display resolution.

关键词： Field programmable gate arrays (FPGA)

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Extracting Text from Degraded Document image 5

Extracting Text from Degraded Document Image

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

作者： Patel, Radhika Mitra, Suman K. Dhirubhai Ambani Inst Informat & Commun Technol Gandhinagar 382007 India

ISBN: (纸本)9781467385640

the recent era of digitization is expected to digitized many old important documents which are degraded due to various reasons. Degraded document image binarization has many challenges like intensity variation, background contrast variation, bleed through, text size variation and so on. Many approaches are available for document image binarization, but none can handle all types of degradation at once. We proposed an approach which consists of three stages such as preprocessing, Text-Area detection and post-processing. Preprocessing enhances the contrast of the image. Next stage involves identifying Text-Area. Postprocessing technique takes care of false positives and false negative based on intensity values of preprocessed and gray image. the Performance is evaluated based on various quantitative measures and is compared with the method regarded best so far. the algorithm is also expected to be independent of the script, hence is tested on Gujarati degraded document images.

关键词： Binarization edge detection Text extraction

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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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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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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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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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MRF and DP Based Specular Surface Reconstruction

MRF and DP Based Specular Surface Reconstruction

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

作者： Redddy, Ravindra K. Namboodiri, Anoop Int Inst Informat Technol Ctr Visual Informat Technol Hyderabad 500032 Andhra Pradesh India

ISBN: (纸本)9781479915880

this paper addresses the problem of reconstruction of specular surfaces using a combination of Dynamic Programming and Markov Random Fields formulation. Unlike traditional methods that require the exact position of environment points to be known, our method requires only the relative position of the environment points to be known for computing approximate normals and infer shape from them. We present an approach which estimates the depth from dynamic programming routine and MRF stereo matching and use MRF optimization to fuse the results to get the robust estimate of shape. We used smooth color gradient image as our environment texture so that shape can be recovered using just a single shot. We evaluate our method using synthetic experiments on 3D models like Stanford bunny and show the real experiment results on golden statue and silver coated statue.

关键词： specular surface data processing dynamic programming MYRF gene Environments statues single-shot Surface reconstruction Reconstructive Surgical Procedures color gradients Reconstructions

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