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Image Processing (ICIP), 2011 18th IEEE International Conference on

Date 11-14 Sept. 2011

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Displaying Results 1 - 25 of 933
  • [Title page]

    Publication Year: 2011, Page(s): i
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  • [Welcome one]

    Publication Year: 2011, Page(s):ii - iii
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  • [Welcome two]

    Publication Year: 2011, Page(s):iv - v
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  • Committees

    Publication Year: 2011, Page(s):vi - vii
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  • Program

    Publication Year: 2011, Page(s):viii - cxxi
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  • Modern shape from shading and beyond

    Publication Year: 2011, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (231 KB) | HTML iconHTML

    Shape from shading (SFS) is one of the most fundamental problems in Computer Vision: reconstruction of the three-dimensional (3D) shape of photographed objects given a single input image. Image formation is then modelled based on assumptions on illumination and light reflectance. Solving the 3D shape from the model is useful for many applications. SFS has been extended, for example, to several inp... View full abstract»

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  • Numerical schemes for advanced reflectance models for Shape from Shading

    Publication Year: 2011, Page(s):5 - 8
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (704 KB) | HTML iconHTML

    In recent years, Shape from Shading (SfS) research has been dominated by the rise of perspective models and advanced numerical schemes, which allowed for impressive results compared to previous methods in the field. Despite of these groundbreaking developments, researchers concentrated on Lambertian reflectance models. Recently, some researchers started to include more advanced reflectance models ... View full abstract»

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  • Shape from shading with specular highlights: Analysis of the Phong model

    Publication Year: 2011, Page(s):9 - 12
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1715 KB) | HTML iconHTML

    Recently, non-Lambertian models for perspective shape from shading (PSFS) have received attention in the literature. The Phong-based PSFS model combining Lambertian and specular reflection has been shown to give good results for objects in real-world images. In this paper, we present at hand of this model the first analysis of a non-Lambertian PSFS model in the literature. We show mathematically a... View full abstract»

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  • Shape-from-shading under complex natural illumination

    Publication Year: 2011, Page(s):13 - 16
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1194 KB) | HTML iconHTML

    We present a shape-from-shading algorithm for Lambertian surfaces of uniform but unknown albedo, illuminated by unknown, arbitrarily complex environment lighting. Our approach is based on a first order spherical harmonic approximation to the reflectance map. This is estimated from the image using surface normals interpolated from boundary points. The shape-from-shading step minimises local brightn... View full abstract»

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  • Reconstruction of non-Lambertian surfaces by fusion of Shape from Shading and active range scanning

    Publication Year: 2011, Page(s):17 - 20
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4581 KB) | HTML iconHTML

    In this paper, we present an algorithm for the fusion of surface normals estimated based on Shape from Shading with absolute depth data under exploitation of the mutual advantages, regarding non-Lambertian surfaces with non-uniform albedos. While photometric 3D reconstruction methods yield dense surface detail information which is reliable on small scales, active range scanning provides absolute d... View full abstract»

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  • Shape from specular reflection in calibrated environments and the integration of spatial normal fields

    Publication Year: 2011, Page(s):21 - 24
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4539 KB) | HTML iconHTML

    Reflections of a scene in a mirror surface contain information on its shape. This information is accessible by measurement through an optical metrology technique called deflectometry. The result is a field of normal vectors to the unknown surface having the remarkable property that it equally changes in all spatial directions, unlike normal maps occurring, e.g., in Shape from Shading. Its integrat... View full abstract»

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  • Joint pose estimation and action recognition in image graphs

    Publication Year: 2011, Page(s):25 - 28
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (428 KB) | HTML iconHTML

    Human analysis in images and video is a hard problem due to the large variation in human pose, clothing, camera view-points, lighting and other factors. While the explicit modeling of this variability is difficult, the huge amount of available person images motivates for the implicit, data-driven approach to human analysis. In this work we aim to explore this approach using the large amount of ima... View full abstract»

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  • Inferring 3D body pose using variational semi-parametric regression

    Publication Year: 2011, Page(s):29 - 32
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (701 KB) | HTML iconHTML

    To deal with multi-modality in human pose estimation, mixture models or local models are introduced. However, problems with over-fitting and generalization are caused by our necessarily limited data, and the regression parameters need to be determined without resorting to slow and processor-hungry techniques, such as cross validation. To compensate these problems, we have developed a semi-parametr... View full abstract»

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  • Automatic target recognition using discriminative graphical models

    Publication Year: 2011, Page(s):33 - 36
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (6275 KB) | HTML iconHTML

    Of recent interest in automatic target recognition (ATR) is the problem of combining the merits of multiple classifiers. This is commonly done by “fusing” the soft-outputs of several classifiers into making a single decision. We observe that the improvement in recognition rates afforded by these approaches is due to the complementary yet correlated information captured by different f... View full abstract»

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  • A Belief Propagation algorithm for bias field estimation and image segmentation

    Publication Year: 2011, Page(s):37 - 40
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (342 KB) | HTML iconHTML

    Intensity-based image segmentation is often plagued by the spatial intensity inhomogeneities (or non-uniformities) that are caused by the imperfection of the imaging devices and the varying operating conditions, also known as the bias field. We present a graphical model representation of the joint segmentation and bias field estimation problem and propose an iterative solver based on the Belief Pr... View full abstract»

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  • Planarity-enforcing higher-order graph cut

    Publication Year: 2011, Page(s):41 - 44
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (719 KB) | HTML iconHTML

    When image primitives cannot be robustly extracted, the estimation of a perspective transformation between overlapping images can be formulated as a markov random field (MRF) and minimized efficiently using graph cuts. For well contrasted images with low noise level, a first order MRF leads to an accurate and robust registration. With increasing noise however, the registration quality decreases ra... View full abstract»

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  • Learning structural conjunction of image content by sparse graphical model

    Publication Year: 2011, Page(s):45 - 48
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2576 KB) | HTML iconHTML

    In this paper we present a novel method on learning structural conjunction of image content by sparse graphical model. We first use matrix-variate distributions to formulate two statistical structure models and establish the connection between them. The connection leads us to sparse Gaussian graphical models in which sparse regression technique such as lasso is used for concentration matrix estima... View full abstract»

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  • Automatic quality enhancement and nerve fibre layer artefacts removal in retina fundus images by off axis imaging

    Publication Year: 2011, Page(s):49 - 52
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (906 KB) | HTML iconHTML

    Retinal fundus images acquired with non-mydriatic digital fundus cameras are a versatile tool for the diagnosis of various retinal diseases. Even with relative ease of use, the images produced sometimes suffer from reflectance artefacts mainly due to the nerve fibre layer (NFL) or camera lens related reflections. We propose a technique that employs multiple fundus images to obtain a single higher ... View full abstract»

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  • Advanced statistical matrices for texture characterization: Application to DNA chromatin and microtubule network classification

    Publication Year: 2011, Page(s):53 - 56
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1705 KB) | HTML iconHTML

    This paper presents significant improvements of Gray Level Size Zone Matrix (GLSZM) which is a bivariate statistical representation of texture, based on the co-occurrences of size/intensity of each flat zone (connected pixels of the same gray level). The first improvement is a multi-scale extension of the matrix which merges various quantizations of gray levels. A second alternative is proposed to... View full abstract»

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  • Comparison of energy minimization methods for 3-D brain tissue classification

    Publication Year: 2011, Page(s):57 - 60
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (370 KB) | HTML iconHTML

    This paper presents 3-D brain tissue classification schemes using three recent promising energy minimization methods for Markov random fields: graph cuts, loopy belief propagation and tree-reweighted message passing. The classification is performed us ng the well known finite Gaussian mixture Markov Random Field model. Results from the above methods are compared with widely used iterative conditio... View full abstract»

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  • Clump splitting via bottleneck detection

    Publication Year: 2011, Page(s):61 - 64
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (685 KB) | HTML iconHTML

    Under-segmentation of an image with multiple objects is a common problem in image segmentation algorithms. This paper presents a novel approach for the splitting of clumps formed by multiple objects due to under-segmentation. The algorithm includes two steps: finding a pair of points for clump splitting, and joining the pair of selected points. In the first step, a pair of points for splitting is ... View full abstract»

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  • Texture classification of scarred and non-scarred myocardium in cardiac MRI using learned dictionaries

    Publication Year: 2011, Page(s):65 - 68
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (543 KB) | HTML iconHTML

    The late gadolinium enhancement in Cardiac Magnetic Resonance (CMR) imaging is used to increase the intensity of scar area in myocardium for thorough examination. The results in our previous work [1] arises the hypothesis that there are textural differences between the non-scarred myocardium and the scarred areas. This paper presents our work of testing the hypothesis further by applying dictionar... View full abstract»

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  • Automatic IVUS media-adventitia border extraction using double interface graph cut segmentation

    Publication Year: 2011, Page(s):69 - 72
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2035 KB) | HTML iconHTML

    We present a fully automatic segmentation method to extract media-adventitia border in IVUS images. Segmentation in IVUS has shown to be an intricate process due to relatively low contrast and various forms of interferences and artifacts caused by, for example, calcification and acoustic shadow. Graph cut based methods often require careful manual initialization and produces in consistent tracing ... View full abstract»

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  • Non-linearization of free schrodinger equation and pseudo-morphological complex diffusion operators

    Publication Year: 2011, Page(s):73 - 76
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (488 KB) | HTML iconHTML

    The paper deals with a generalization of the complex diffusion in order to introduce pseudo-morphological complex filters which mimic dilation/erosion operators. The non- linearization paradigm is based on the counter-harmonic mean. The physical model underlying complex diffusion is the free Schrodinger equation and consequently the proposed operators can be interpreted as the asymptotic "pseudo-m... View full abstract»

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  • Adaptive filtering of raster map images using optimal context selection

    Publication Year: 2011, Page(s):77 - 80
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (779 KB) | HTML iconHTML

    Filtering of raster map images or more general class of palette-indexed images is considered as a discrete denoising problem with finite color output. Statistical features of local context are used to avoid damages of some specific but frequently occurring contexts caused by conventional filters. Several context-based approaches have been developed using either fixed context templates or context t... View full abstract»

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