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

共 1004 条记录，以下是71-80 订阅

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SIFT Based View Invariant Watermarking for DIBR 3D image 5

SIFT Based View Invariant Watermarking for DIBR 3D Image

引用

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

作者： Rana, Shuvendu Mattu, Vishavdeep Sur, Arijit Indian Inst Technol Dept CSE Multimedia Lab Gauhati 781039 Assam India

ISBN: (纸本)9781467385640

In this paper, a view invariant watermarking scheme is proposed for depth image based rendering (DIBR) 3D image representation. To make the scheme invariant against view synthesis process, the watermark is inserted in the image locations selected by the SIFT (Scale-invariant feature transform) feature points. A novel SIFT feature based coefficient selection scheme has been implemented for watermark embedding by exploiting the shift invariance and directional property of the DIBR based view synthesis process. A coefficient partitioning based blind watermarking method has been included to make the scheme more efficient. A comprehensive set of experiments have been carried out to justify the robustness of the proposed scheme against the view synthesis attack.

关键词： Watermarking

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Fast Area of Contact Computation for Collision Detection of a Deformable Object using FEM

Fast Area of Contact Computation for Collision Detection of ...

引用

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

作者： Shrivastava, Prateek Das, Sukhendu Indian Inst Technol Madras 600036 Tamil Nadu India

ISBN: (纸本)9781479915880

In case of detection and analysis of deformation in collision scenarios, using a method based on area of contact instead of a point of contact generates numerically stable impulse forces. Area of contact improves the stability of control algorithms, but it is often associated with high computational cost. In this paper, we alleviate this problem by proposing a novel algorithm for collision detection of a deformable mesh against rigid structures. We reuse the data structures maintained for elastic force computations in the FEM, for the purpose of collision detection. Parallel constructs on GPU using reduced model make the simulations interactive even for meshes with thousands of elements. Since we don't maintain any additional complex structure for keeping track of the deformable body at each iteration, we significantly reduce the usage of GPU memory bandwidth. Efficiency of our method is illustrated by reporting high culling efficiency on various tests.

关键词： CONTACT AREA Finite element method Collision detection Collision avoidance Data structures deformation analysis deformable body RIGID STRUCTURES Point contacts computer algorithms reduced model GRAPPER PICK UP graphics processing Unit

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Script Independent Detection of Bold Words in Multi Font-size Documents

Script Independent Detection of Bold Words in Multi Font-siz...

引用

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

作者： Saikrishna, Pedamalli Ramakrishnan, A. G. Indian Inst Sci Dept Elect Engn Bangalore 560012 Karnataka India

ISBN: (纸本)9781479915880

A script independent, font-size independent scheme is proposed for detecting bold words in printed pages. In OCR applications such as minor modifications of an existing printed form, it is desirable to reproduce the font size and characteristics such as bold, and italics in the OCR recognized document. In this morphological opening based detection of bold (MOBDoB) method, the binarized image is segmented into sub-images with uniform font sizes, using the word height information. Rough estimation of the stroke widths of characters in each sub-image is obtained from the density. Each sub-image is then opened with a square structuring element of size determined by the respective stroke width. the union of all the opened sub-images is used to determine the locations of the bold words. Extracting all such words from the binarized image gives the final image. A minimum of 98 % of bold words were detected from a total of 65 Tamil, Kannada and English pages and the false alarm rate is less than 0.4 %.

关键词： bold face subimage optical character recognition false alarm probability FONT Word

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Content Based image Retrieval using Enhanced SURF 5

Content Based Image Retrieval using Enhanced SURF

引用

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

作者： Gopal, Naveen Bhooshan, Reshmi S. Coll Engn Trivandrum Kerala India

ISBN: (纸本)9781467385640

image retrieval techniques finds very useful in content management systems. Content Based image Retrieval (CBIR) methods incorporates specific image features such as colors, textures, keypoints etc., for retrieving similar images from databases. Most of the keypoint detectors and keypoint descriptors uses only grayscale information. the retrieval accuracy of these methods can be improved by adding additional color information to the keypoint descriptors. In this paper, an enhanced SURF descriptor is proposed for CBIR applications, which extracts the image features by computing the Hu moments along with eigen values in the immediate neighbourhood of the detected keypoints. Experimental results shows better image retrieval accuracy by using enhanced SURF descriptor. Also, the enhanced SURF descriptor is able to differentiate between images of same object having similar grayscale properties but having different colors.

关键词： Color

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Sparse representation based Background Subtraction in Videos 5

Sparse representation based Background Subtraction in Videos

引用

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

作者： Kumar, Amrit Balasubramanian, S. Sri Sathya Sai Inst Higher Learning Anantapur Andhra Pradesh India

ISBN: (纸本)9781467385640

Background subtraction is an important preprocessing technique for a wide variety of problems in computer vision including automatic video surveillance, anomaly detection etc. Our focus is on background subtraction of videos taken from stationary cameras. We use sparse representation and compressive sensing to propose a novel algorithm that separate the background image and present the foreground objects in each frame. Our method is robust to dynamic background scenario where the background changes with time. We also point towards the fact that our algorithm is highly parallalizable and so can subtract background in real time. We demonstrate the superiority of our method against Mixture of Gaussian, KDE model and Monnnet's method. Also our method is on par with AdaDGS in terms of visual result.

关键词： Security systems

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Handwritten Text Recognition In Odia Script Using Hidden Markov Model 5

Handwritten Text Recognition In Odia Script Using Hidden Mar...

引用

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

作者： Bhoi, Suman Dogra, D. P. Roy, P. P. Indian Inst Technol Sch Elect Sci Bhubaneswar 751013 Orissa India Indian Inst Technol Dept Comp Sci & Engn Roorkee Uttar Pradesh India

ISBN: (纸本)9781467385640

this paper presents a system for unconstrained handwritten Odia text recognition using Hidden Markov Model (HMM) framework. Existing literature for Odia text recognition works primarily with individual isolated characters. In this study we introduce a Odia dataset of word samples collected from different professionals. Concavity feature from each word image is extracted in our approach. Next, the features are fed to HMM-based sequential classifier for recognition. the experiment has been performed on a large dataset consisting of 4000 words and results obtained are encouraging.

关键词： Hidden Markov models

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image Denoising Using Redundant Finer Directional Wavelet Transform

Image Denoising Using Redundant Finer Directional Wavelet Tr...

引用

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

作者： Gajbhar, Shrishail S. Joshi, Manjunath V. DA IICT Gandhinagar Gujarat India

ISBN: (纸本)9781479915880

In this paper, we propose two designs of redundant finer directional wavelet transform (FiDWT) and explain its application to image denoising. 2-channel perfect reconstruction (PR) checkerboard-shaped filter bank (CSFB) is at the core of the designs. the 2-channel CSFB, uses 2-D nonseparable analysis and synthesis filter responses without downsampling/upsampling matrices resulting in redundancy factor of 2. Both these designs have two lowpass and six highpass directional subbands. the hard-thresholding results for image denoising using proposed designs clearly shows improvement in PSNR as well as visual quality of the denoised images. Using the Bayes least squares-Gaussian scale mixture (BLS-GSM), a current state-of-the-art wavelet-based image denoising technique with the proposed two times redundant FiDWT design indicates encouraging results on textural images with much less computational cost.

关键词： Wavelet transform multidimensional filter banks image denoising BLS-GSM

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A New Motion Estimation Technique for Video Compression

A New Motion Estimation Technique for Video Compression

引用

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

作者： Arya, K. V. Prasad, Purnima ABV Indian Inst Informat Technol & Management Gwalior India

ISBN: (纸本)9781479915880

the popular techniques to eliminate temporal redundancy in video sequences are Motion Estimation and Motion Compensation. these techniques have also been used in popular H.264, MPEG-2 and MPEG-4 video coding standards. Conventional fast Block Matching Algorithms (BMA) perform exhaustive search between the current and the reference frame. Although BMA technique gives the exact result but it is computationally very expensive. Another drawback of this method is that it easily gets trapped into the local minima which eventually lead to degradation of the video quality. the proposed Motion Estimation Technique exploits the fact that the human eyes are incapable of detecting different frames when they are run at particular frame rate. the experimental results on various video sequences demonstrate that the proposed technique has outperformed all the existing conventional motion estimation techniques.

关键词： Motion estimation motion compensation search range number of computations peak signal to noise ratio

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Lip Tracking under Varying Expressions Utilizing Domain Knowledge

Lip Tracking under Varying Expressions Utilizing Domain Know...

引用

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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Segmentation of Circular and Rectangular Shapes in an image Using Helmholtz Principle

Segmentation of Circular and Rectangular Shapes in an Image ...

引用

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

作者： Mukherjee, Snehasis Mukherjee, Dipti Prasad Indian Stat Inst Elect & Commun Sci Unit Kolkata India

ISBN: (纸本)9781424442195

We propose algorithms to extract groups of meaningful image level lines using Helmholtz perception principle. In this paper, the meaningfulness refers to the segmentation of circular and rectangular shapes in an image. We propose an objective assessment of meaningfulness of an image level line when the level line takes the shape of circle or rectangular segment. We have shown that a logical threshold in the meaningfulness value segments images from a variety of applications.

关键词： image segmentation

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