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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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An Algebraic Framework for Discrete Basis Functions in computer vision

An Algebraic Framework for Discrete Basis Functions in Compu...

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

作者： O'Leary, Paul Harker, Matthew Univ Min & Met Leoben Inst Automat A-8700 Leoben Austria

ISBN: (纸本)9781424442195

this paper presents a fundamentally new algebraic approach to the analysis and synthesis of discrete orthogonal basis functions. It provides the theoretical background to unify Fourier Gabor and discrete orthogonal polynomial moments. For the first time, a set of objective tests are proposed to measure the quality of basis functions. It consists of two main sections: the theoretical background on the generation and orthogonalization of basis functions together with a new solution for the computation of spectra from incomplete data, as well as the implementation of interpolation for all orthogonal basis functions;a new approach to discrete orthogonal polynomials, proving that there is one and only one unitary discrete polynomial basis. Furthermore, the concept of anisotropic moments is introduced and applied to 2D seismic data, which is an image processing problem. the new polynomial basis is numerically better conditioned than the discrete cosine transform. this opens the door to new image compression algorithms, offering a higher compression ratio than the well known JPEG method, for the same numerical effort.

关键词： Polynomials

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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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Combining image and Caption Analysis for Classifying Charts in Biodiversity Texts 15

Combining Image and Caption Analysis for Classifying Charts ...

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15th International Joint conference on computer vision, Imaging and computer graphics theory and Applications (VISIGRAPP) / 11th International conference on Information Visualization theory and Applications (IVAPP)

作者： Kaur, Pawandeep Kiesel, Dora Friedrich Schiller Univ Heinz Nixdorf Chair Distributed Informat Syst Jena Germany Bauhaus Univ Fac Media VR Grp Weimar Germany

ISBN: (纸本)9789897584022

Chart type classification through caption analysis is a new area of study. Distinct keywords in the captions that relate to the visualization vocabulary (e.g., for scatterplot: dot, y-axis, x-axis, bubble) and keywords from the specific domain (e.g., species richness, species abundance, phylogenetic associations in the case of biodiversity research), serve as parameters to train a text classifier. For better chart comprehensibility, along with the visual characteristics of the chart, a classifier should also understand these parameters well. Such conceptual/semantic chart classifiers then will not only be useful for chart classification purposes but also for other visualization studies. One of the applications of such a classifier is in the creation of the domain knowledge-assisted visualization recommendation system, where these text classifiers can provide the recommendation of visualization types based on the classification of the text provided along with the dataset. Motivated by this use case, in this paper, we have explored our idea of semantic chart classifiers. We have taken the assistance of state-of-the-art natural language processing (NLP) and computer vision algorithms to create a biodiversity domain-based visualization classifier. With an average test accuracy (F1-score) of 92.2% over all 15 classes, we can prove that our classifiers can differentiate between different chart types conceptually and visually.

关键词： Caption Analysis Chart Classification Natural Language processing NLP Caption Classification Visualization Recommendation Chart Recognition

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Large-scale Virtual Texturing on a Distributed Rendering System 5

Large-scale Virtual Texturing on a Distributed Rendering Sys...

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

作者： Revanth, N. R. Narayanan, P. J. Int Inst Informat Technol Ctr Visual Informat Technol Hyderabad 500032 Andhra Pradesh India

ISBN: (纸本)9781467385640

there has been a profound interest of late in the digitization and reconstruction of historical monuments. Rendering massive monument models requires a cluster of workstations because of the computational infeasibility of rendering over a single machine. Moreover, interactive rendering of these massive models in an immersive environment is only possible over a cluster of machines. In this paper, we present a design of distributed rendering system to efficiently handle models with massive textures. A server holds the skeleton of the whole model and divides the screen space balancing the rendering load among multiple clients. Each client loads only the required geometry and textures to render its sub-scene. We present a virtual texturing method for handling massive textures over the distributed rendering system. these textures are combined into a texture atlas which is split into equally sized tiles. A virtual texture is built over this atlas with each pixel representing a tile in the atlas. An efficient caching module loads only the required tiles into the memory, that are identified using the virtual texture. A fragment shader uses the virtual texture as a mapping to the physical texture in memory to generate the fragments. We demonstrate the performance of our system over a 350M triangles and 500 gigapixel textured model of Vittala temple.

关键词： Rendering (computer graphics)

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2-D Dual Tree Complex Wavelet Transform (DT-CWT) Based Fingerprint Ridge Structure Quality Enhancement 5

2-D Dual Tree Complex Wavelet Transform (DT-CWT) Based Finge...

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

作者： Kundargi, Jayshree M. Karandikar, R. G. KJ Somaiya Coll Engn Dept Elect Engn Bombay 77 Maharashtra India KJ Somaiya Coll Engn Dept Elect & Tele Engn Bombay 77 Maharashtra India KJ Somaiya Coll Engn Bombay 77 Maharashtra India

ISBN: (纸本)9781467385640

Nowadays fingerprint is widely used to ascertain identity of an individual. the performance of an automated fingerprint verification system depends on the quality of the fingerprint image captured by the sensor. In this paper we propose fingerprint ridge structure quality enhancement using 2D Dual Tree Complex Wavelet Transform (DT-CWT). the DT-CWT provides multiscale description of fingerprint images with good directional selectivity. the DT-CWT transforms fingerprint images into six directionally selective subbands at multiple scales. the wavelet coefficients in all subbands are compensated adaptively based on the compensation coefficients obtained from the singular values of subbands of fingerprint image and a referred Gaussian template. the original image is then reconstructed using inverse DT-CWT. the experimental results show that the DT-CWT is more effective than the Discrete Wavelet Transform in terms of improvement in singular point detection accuracy.

关键词： Fingerprint verification system quality of fingerprint image 2-D Dual Tree Complex Wavelet Transform Discrete Wavelet Transform Gaussian template singular point detection

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Depth estimation from single image using defocus and texture cues 5

Depth estimation from single image using defocus and texture...

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

作者： Srikakulapu, Vivek Kumar, Himanshu Gupta, Sumana Venkatesh, K. S.

ISBN: (纸本)9781467385640

As imaging is a process of 2D projection of a 3D scene, the depth information is lost at the time of image capture from conventional camera. this depth information can be inferred back from a set of visual cues present in the image. In this work, we present a model that combines two monocular depth cues namely Texture and Defocus. Depth is related to the spatial extent of the defocus blur by assuming that more an object is blurred, the farther it is from the camera. At first, we estimate the amount of defocus blur present at edge pixels of an image. this is referred as the Sparse Defocus map. Using the sparse defocus map we generate the full defocus map. However such defocus maps always contain hole regions and ambiguity in depth. To handle this problem an additional depth cue, in our case texture has been integrated to generate better defocus map. this integration mainly focuses on modifying the erroneous regions in defocus map by using the texture energy present at that region. the sparse defocus map is corrected using texture based rules. the hole regions, where there are no significant edges and texture are detected and corrected in sparse defocus map. We have used region wise propagation for better defocus map generation. the accuracy of full defocus map is increased with the region wise propagation.

关键词： Cameras

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