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检索条件"任意字段=Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing"

共 1499 条记录，以下是951-960 订阅

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Restoration of Partial Color Artifact and Blotches using Histogram matching and Sparse technique

Restoration of Partial Color Artifact and Blotches using His...

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

作者： Narendra, V. Gupta, Sumana Indian Inst Technol Kanpur Dept Elect Engn Kanpur Uttar Pradesh India

ISBN: (纸本)9781479915880

In this paper we have proposed methods for restoration of artifacts called Partial Color Artifact(PCA) and Blotches which appear frequently in old video films. The PCA occurs due to partial loss of information in the upper color layers of the video film. As the inner most color layer is unaffected, the information present in this inner most color layer of the film aids in the reconstruction of damaged pixels from previously reconstructed frames. In Blotch artifact the pixel information is completely lost. The proposed Blotch reconstruction method is based on sparse recovery of signals from small number of measurements. Our blotch reconstruction process is computationally efficient because the image is segmented into non overlapping blocks and reconstruction is done block wise.

关键词： Partial Color Artifact Blotches Sparse recovery

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Object Boundary Detection using Rough Set Theory

Object Boundary Detection using Rough Set Theory

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

作者： Phophalia, Ashish Mitra, Suman K. Rajwade, Ajit DA IICT Gandhinagar 382007 India Indian Inst Technol Bombay 400076 Maharashtra India

ISBN: (纸本)9781479915880

A Rough Set Theory based closed form object boundary detection method has been suggested in this paper. Most of the edge detection methods fail in getting closed boundary of objects of any shape present in the image. Active contour based methods are available to get such object boundaries. The Multiphase Chan-Vese Active Contour Method is one of the most popular of such techniques. However, it is constrained with number of objects present in the image. The granular processing using Rough Set method overcomes this constraint and provides a closed curve around the boundary of the objects. This information can further be utilized in selection of similar patches for various image processing problems such as image Denoising, image Super-resolution, image Segmentation etc. The proposed boundary detection method has been tested in presence of noise also. The experimental results have shown on synthetic image as well as on MRI of human brain. The performance of proposed method is found to be encouraging.

关键词： Active Contour Method Object Boundary Detection Problem Rough Set Theory

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Single image Super-Resolution using Compressive Sensing with Learned Overcomplete Dictionary

Single Image Super-Resolution using Compressive Sensing with...

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

作者： Deka, Bhabesh Gorain, Kanchan Kumar Kalita, Navadeep Das, Biplab Tezpur Cent Univ Dept Elect & Commun Engn Tezpur 784028 India

ISBN: (纸本)9781479915880

This paper proposes a novel framework that unifies the concept of sparsity of a signal over a properly chosen basis set and the theory of signal reconstruction via compressed sensing in order to obtain a high-resolution image derived by using a single down-sampled version of the same image. First, we enforce sparse overcomplete representations on the low-resolution patches of the input image. Then, using the sparse coefficients as obtained above, we reconstruct a high-resolution output image. A blurring matrix is introduced in order to enhance the incoherency between the sparsifying dictionary and the sensing matrices which also resulted in better preservation of image edges and other textures. When compared with the similar techniques, the proposed method yields much better result both visually and quantitatively.

关键词： Compressed sensing

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STAR: A Content Based Video Retrieval System for Moving Camera Video Shots

STAR: A Content Based Video Retrieval System for Moving Came...

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

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

ISBN: (纸本)9781479915880

This paper presents the design of STAR (Spatio-Temporal Analysis and Retrieval), an unsupervised Content Based Video Retrieval (CBVR) System. STAR's key insight and primary contribution is that it models video content using a joint spatio-temporal feature representation and retrieves videos from the database which have similar moving object and trajectories of motion. Foreground moving blobs from a moving camera video shot are extracted, along with a trajectory for camera motion compensation, to form the space-time volume (STV). The STV is processed to obtain the EMST-CSS representation, which can discriminate across different categories of videos. Performance of STAR has been evaluated qualitatively and quantitatively using precision-recall metric on benchmark video datasets having unconstrained video shots, to exhibit efficiency of STAR.

关键词： Benchmarking

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Stable Biped Locomotion using Improved Proportional Derivative Controller

Stable Biped Locomotion using Improved Proportional Derivati...

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

作者： Shrivastava, Ankit Shrivastava, Prateek Das, Sukhendu Samanta, Suranjana MTS Vmware Bangalore Karnataka India Indian Inst Technol VP Lab Madras 600036 Tamil Nadu India

ISBN: (纸本)9781479915880

In this paper, we propose a modified version of the standard proportional-derivative (PD) controller for biped locomotion. Our improvements stabilize the biped for high gain PD controllers. The main idea of our approach involves applying corrective component to the existing framework, so that it prevents overshooting at high gains to stabilize the biped. We use pose control graphs to represent various gaits for the biped. We demonstrate with our improvements that the biped controller is stable while walking on irregular terrains. We also demonstrate that our formulation provides additional stability to the biped under minor impediments while in motion.

关键词： Biped locomotion high gain Proportional derivative Controllers overshooting Gait stalls(animals)

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Estimation of the orientation and distance of a mirror from Kinect depth data

Estimation of the orientation and distance of a mirror from ...

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

作者： Mallick, Tanwi Das, Partha Pratim Majumdar, Arun Kumar Indian Inst Technol Dept Comp Sci & Engn Kharagpur 721302 W Bengal India

ISBN: (纸本)9781479915880

In many common applications of Microsoft Kinect (TM) including navigation, surveillance, 3D reconstruction, and the like;it is required to estimate the geometry of mirrors or other reflecting surfaces existing in the field of view. This often is difficult as in most positions a mirror does not support diffuse reflection of speckles and hence cannot be seen in the Kinect depth map. A mirror shows up as unknown depth. However, suitably placed objects reflecting in the mirror can provide important clues for the orientation and distance of the mirror. In this paper we present a method using a ball and its mirror image to set-up point-to-point correspondence between object and image points to solve for the geometry of the mirror. With this simple estimators are designed for the orientation and distance of a plane vertical mirror with respect to the Kinect camera. In addition an estimator is presented for the diameter of the ball. The estimators are validated through a set of experiments.

关键词： Depth Data Distance Estimation Orientation Estimation Mirror Kinect

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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 ...

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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...

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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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image Denoising Using Redundant Finer Directional Wavelet Transform

Image Denoising Using Redundant Finer Directional Wavelet Tr...

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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

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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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