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

作者： Joshi, Sharad Upla, Kishor P. Joshi, Manjunath V. SV Natl Inst Technol Surat 395007 Gujarat India Dhirubhai Ambani Inst Informat & Commun Technol Gandhinagar 382007 Gujarat India

ISBN: (纸本)9781479915880

In this paper, we propose a multi-resolution image fusion approach based on multistage guided filter (MGF). Given the high spatial resolution panchromatic (Pan) and high spectral resolution multi-spectral (MS) images, the multi-resolution image fusion algorithm obtains a single fused image having both the high spectral and the high spatial resolutions. Here, we extract the missing high frequency details of MS image by using multistage guided filter. the detail extraction process exploits the relationship between the Pan and MS images by utilizing one of them as a guidance image and extracting details from the other. this way the spatial distortion of MS image is reduced by consistently combining the details obtained using both types of images. the final fused image is obtained by adding the extracted high frequency details to corresponding MS image. the results of the proposed algorithm are compared with the commonly used traditional methods as well as with a recently proposed method using Quickbird, Ikonos-2 and Worldview-2 satellite images. the quantitative assessment is evaluated using the conventional measures as well as using a relatively new index i. e., quality with no reference (QNR) which does not require a reference image. the results and measures clearly show that there is significant improvement in the quality of the fused image using the proposed approach.

关键词： MULTISTAGE image fusion images Multi-resolution imagery (Psychotherapy) image Filters peroxyacetyl nitrate Mass spectroscopy Multiple Sclerosis

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Extraction of Line-Word-Character Segments Directly from Run-Length Compressed Printed Text-Documents

Extraction of Line-Word-Character Segments Directly from Run...

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

作者： Javed, Mohammed Nagabhushan, P. Chaudhuri, B. B. Univ Mysore Dept Studies Comp Sci Mysore 570006 Karnataka India Indian Stat Inst Comp Vis & Pattern Recognit Unit Kolkata 700108 India

ISBN: (纸本)9781479915880

Segmentation of a text-document into lines, words and characters, which is considered to be the crucial preprocessing stage in Optical Character Recognition (OCR) is traditionally carried out on uncompressed documents, although most of the documents in real life are available in compressed form, for the reasons such as transmission and storage efficiency. However, this implies that the compressed image should be decompressed, which indents additional computing resources. this limitation has motivated us to take up research in document image analysis using compressed documents. In this paper, we think in a new way to carry out segmentation at line, word and character level in run-length compressed printed-text-documents. We extract the horizontal projection profile curve from the compressed file and using the local minima points perform line segmentation. However, tracing vertical information which leads to tracking words-characters in a run-length compressed file is not very straight forward. therefore, we propose a novel technique for carrying out simultaneous word and character segmentation by popping out column runs from each row in an intelligent sequence. the proposed algorithms have been validated with 1101 text-lines, 1409 words and 7582 characters from a data-set of 3 5 noise and skew free compressed documents of Bengali, Kannada and English Scripts.

关键词： Compressed document segmentation run-length compression Line word and character segmentation

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Semantic Event Detection and Classification in Cricket Video Sequence

Semantic Event Detection and Classification in Cricket Video...

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

作者： Kolekar, M. H. Palaniappan, K. Sengupta, S. Univ Missouri Dept Comp Sci Columbia MO 65211 USA Indian Inst Technol Dept Elect & ECE Kharagpur W Bengal India

ISBN: (纸本)9781424442195

In this paper we present a novel hierarchical framework and effective algorithms for cricket event detection and classification. the proposed scheme performs a top-down video event detection and classification using hierarchical tree which avoids shot detection and clustering. In the hierarchy, at level-1, we use audio features, to extract excitement clips from the cricket video. At level-2, we classify excitement clips into real-time and replay segments. At level-3, we classify these segments into field view and non-field view based on dominant grass color ratio. At level-4a, we classify field view into pitch-view, long-view, and boundary view using motion-mask. At level-4b, we classify non-field view into close-up and crowd using edge density feature. At level-5a, we classify close-ups into the three frequently occurring classes batsman, bowler/fielder umpire using jersey color feature. At level-5b, we classify crowd segment into the two frequently occurring classes spectator and players' gathering using color feature. We show promising results, with correctly classified cricket events, enabling structural and temporal analysis, such as highlight extraction, and video skimming.

关键词： Semantics

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Real-time Simulation of Human Musculature 11

Real-time Simulation of Human Musculature

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11th indian conference on computer vision, graphics and image processing (ICVGIP)

作者： Kanjilal, Neeladrishekhar Chaudhuri, Parag Indian Inst Technol Dept Comp Sci & Engg Mumbai Maharashtra India

ISBN: (纸本)9781450366151

We present a reduced model based on position based dynamics for real-time simulation of human musculature. We demonstrate our methods on the muscles of the human arm. Co-simulation of all the muscles of the human arm allow us to accurately track the development of stresses and strains in the muscles, when the arm is moved. We evaluate our method for accuracy by comparing it with gold standard simulation models based on finite volume methods, and demonstrate the stability of the method under flexion, extension and torsion.

关键词： Human muscle simulation position based dynamics shape matching

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Scene Adaptive Cosmetic Makeup Transfer 11

Scene Adaptive Cosmetic Makeup Transfer

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11th indian conference on computer vision, graphics and image processing (ICVGIP)

作者： Parihar, Rishubh Dashpute, Aniket Kalra, Prem Indian Inst Technol Delhi New Delhi India

ISBN: (纸本)9781450366151

Cosmetic makeup is an art in itself which people use to often enhance their beauty and express themselves. Putting on makeup is a tedious task, so who would not love to see themselves in makeup before physically applying it? In this work, we demonstrate the transfer of makeup from a reference makeup image to some subject image. Our technique involves generation and use of 3D face models of these images. Some nice features of our pipeline include : (1) process adapts to the lighting conditions of the subject image. (2) after makeup on subject image, it is possible to view it in different indoor and outdoor lighting conditions. (3) accessories can be added realistically with proper lighting so that they naturally fit in the subject's scene. Experiments show that these also make our makeup look very realistic and improved compared to many existing frameworks. the main advantage of our novel pipeline is the requirement of only the subject and reference images as input. this is unlike other techniques using 3D models which require extensive data collection.

关键词： Makeup transfer image processing computer graphics Cosmetic transfer Face relighting

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Psoriatic Plaque Segmentation in Skin images 5

Psoriatic Plaque Segmentation in Skin Images

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

作者： Pal, Anabik Garain, Utpal Chatterjee, Raghunath Senapati, Swapan ISI CVPRU Kolkata 108 W Bengal India ISI HGU Kolkata 108 W Bengal India

ISBN: (纸本)9781467385640

this paper concerns about automatic psoriatic plaque segmentation in skin images. A novel pixel clustering based image segmentation approach is proposed. the clustering approach works with the circular-linear color spaces which remained unexplored because of the unavailability of appropriate mixture models and hence, the traditional clustering algorithms are incapable of handling such color spaces. this paper makes use of a novel Semi-Wrapped Gaussian Mixture Model (SWGMM) based approach for clustering image pixels. the experiment considers CIE Lch color space which is essentially a circularlinear space. the performance of SWGMM-based segmentation is compared to commonly used Fuzzy C-Means(FCM) and Fuzzy Kernel C-Means (FKCM)-based segmentation methods in linear color space. Results on a newly generated dataset show that SWGMM-based segmentation achieves accuracy of 82.84% in CIE Lch;whereas experiments with three linear color spaces namely, RGB, CIE L*u*v* and CIE L*a*b* show that FKCM and FCM achieve best accuracies of 78.80% and 77.79%, respectively in Lu*v* space. For comparing the clustering-based diseased detection result to a supervised pixel classification based approach, a support vector machines (SVM) based classifier is trained with labelled diseased and normal healthy skin pixels. As the number of images is limited for the present problem, SVM based diseased detection achieves 63.56% accuracy which is significantly lower than the accuracies given by the clustering based approaches.

关键词： Support vector machines

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Near-Real-Time image Matting with Known Background

Near-Real-Time Image Matting with Known Background

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6th Canadian conference on computer and Robot vision

作者： Gong, Minglun Yang, Yee-Hong Mem Univ Newfoundland St John NF A1C 5S7 Canada Univ Alberta Edmonton AB Canada

ISBN: (纸本)9781424442119

this paper presents a novel matting algorithm for handling cases where foreground objects are in front of complex (non-smooth) but known background. the algorithm is based on a Poisson equation that takes the gradient of the known background into consideration. the quantitative evaluation based on ground truth shows that the matting results obtained using the proposed algorithm is more accurate than the ones generated by the global Poisson matting [9]. the proposed algorithm is also optimized for parallel processing and runs in near-real-time on programmable graphics hardware.

关键词： image matting Poisson equation Programmable graphics hardware

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Pan-sharpening Based On Non-subsampled Contourlet Transform Detail Extraction

Pan-sharpening Based On Non-subsampled Contourlet Transform ...

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

作者： Upla, Kishor P. Gajjar, Prakash P. Joshi, Manjunath V. SV Natl Inst Technol Surat 395007 Gujarat India Govt Polytech Ahmadabad 380015 Gujarat India Dhirubhai Ambani Inst Infor & Commun Tech Gandhinagar 382007 Gujarat India

ISBN: (纸本)9781479915880

In this paper, we propose a new pan-sharpening method using Non-subsampled Contourlet Transform. the panchromatic (Pan) and multi-spectral (MS) images provided by many satellites have high spatial and high spectral resolutions, respectively. the pan-sharpened image which has high spatial and spectral resolutions is obtained by using these images. Since the NSCT is shift invariant and it has better directional decomposition capability compared to contourlet transform, we use it to extract high frequency information from the available Pan image. First, two level NSCT decomposition is performed on the Pan image which has high spatial resolution. the required high frequency details are obtained by using the coarser subband available after the two level NSCT decomposition of the Pan image. the coarser sub-band is subtracted from the original Pan image to obtain these details. these extracted details are then added to MS image such that the original spectral signature is preserved in the final fused image. the experiments have been conducted on images captured from different satellite sensors such as IKonos-2, Worlview-2 and Quickbird. the traditional quantitative measures along with quality with no reference (QNR) index are evaluated to check the potential of the proposed method. the proposed approach performs better compared to the recently proposed state of the art methods such as additive wavelet luminance proportional (AWLP) method and context based decision (CBD) method.

关键词： images profile transformation peroxyacetyl nitrate Spectral resolution state of the art image imagery (Psychotherapy) subband

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Multi-sensor image Fusion Based on Statistical Features and Wavelet Transform

Multi-sensor Image Fusion Based on Statistical Features and ...

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

作者： Pramanik, Sourav Bhattacharjee, Debotosh Prusty, Swagatika Natl Inst Sci & Technol Dept Comp Sci & Engn Berhampur Orissa India Jadavpur Univ Dept Comp Sci & Engn Kolkata India

ISBN: (纸本)9781479915880

In this paper, we have proposed a novel feature based fusion algorithm which integrates the fusion technique of low pass and high pass wavelet coefficients. First we have decomposed source images into discrete wavelet decomposition coefficients. thereafter, approximation coefficients are partition into n number of blocks and features are extracted from each block in the coefficients. Two same correspondence blocks features are then combined to make a feature matrix M. Finally, the weight is computed by applying the principle component analysis (PCA) on the feature matrix M to fuse the same corresponding blocks. After fusion of n blocks, they are combined to get final fused low pass coefficients. In the next phase, all the details or high pass coefficients are fused by computing the relative information of the coefficients and activity measure of each pixel in the neighborhood. Finally, the new coefficient matrix is obtained by concatenating fused approximation and details coefficients and the fused image is reconstructed using inverse wavelet transform. To verify the superiority of our proposed algorithm, we have tested it on 100 pair different sensor images collected from Manchester University UK databases. Finally, the proposed algorithm is compared with one existing algorithm and it performs better in terms of subjective and objective perception.

关键词： relative information block-based features activity measure moment wavelet transform

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Efficient image updates using light fields

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PATTERN RECOGNITION LETTERS 2007年第3期28卷 375-383页

作者： Choudhury, Biswarup Pandey, Aviral Chandran, Sharat Indian Inst Technol Dept Comp Sci & Engn Bombay 400076 Maharashtra India Banaras Hindu Univ Inst Technol Varanasi 221005 Uttar Pradesh India

the light field rendering method is an interesting variation on achieving realism. Once authentic imagery has been acquired using a camera gantry, or a handheld camera, detailed novel views can be synthetically generated from various viewpoints. One common application of this technique is when a user "walks" through a virtual world. In this situation, only a subset of the previously stored light field is required, and considerable computation burden is encountered in processing the input light field to obtain this subset. In this paper, we show that appropriate portions of the light field can be cached at select "nodal points" that depend on the camera walk. Once spartanly and quickly cached, scenes can be rendered from any point on the walk efficiently. (c) 2006 Elsevier B.V. All rights reserved.

关键词： image-based rendering walkthroughs virtual reality visualization rendering

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