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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"

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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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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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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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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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