IEEE Transactions on Pattern Analysis and Machine Intelligence

Volume 28 Issue 12 • Dec. 2006

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  • [Front cover]

    Publication Year: 2006, Page(s): c1
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  • [Inside front cover]

    Publication Year: 2006, Page(s): c2
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  • Introduction of New Associate Editors

    Publication Year: 2006, Page(s):1889 - 1891
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  • Random Multispace Quantization as an Analytic Mechanism for BioHashing of Biometric and Random Identity Inputs

    Publication Year: 2006, Page(s):1892 - 1901
    Cited by:  Papers (174)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1590 KB) | HTML iconHTML

    Biometric analysis for identity verification is becoming a widespread reality. Such implementations necessitate large-scale capture and storage of biometric data, which raises serious issues in terms of data privacy and (if such data is compromised) identity theft. These problems stem from the essential permanence of biometric data, which (unlike secret passwords or physical tokens) cannot be refr... View full abstract»

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  • Validating a Biometric Authentication System: Sample Size Requirements

    Publication Year: 2006, Page(s):1902 - 1319
    Cited by:  Papers (32)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1766 KB) | HTML iconHTML

    Authentication systems based on biometric features (e.g., fingerprint impressions, iris scans, human face images, etc.) are increasingly gaining widespread use and popularity. Often, vendors and owners of these commercial biometric systems claim impressive performance that is estimated based on some proprietary data. In such situations, there is a need to independently validate the claimed perform... View full abstract»

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  • Recovering Facial Shape Using a Statistical Model of Surface Normal Direction

    Publication Year: 2006, Page(s):1914 - 1930
    Cited by:  Papers (55)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2886 KB) | HTML iconHTML

    In this paper, we show how a statistical model of facial shape can be embedded within a shape-from-shading algorithm. We describe how facial shape can be captured using a statistical model of variations in surface normal direction. To construct this model, we make use of the azimuthal equidistant projection to map the distribution of surface normals from the polar representation on a unit sphere t... View full abstract»

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  • MILES: Multiple-Instance Learning via Embedded Instance Selection

    Publication Year: 2006, Page(s):1931 - 1947
    Cited by:  Papers (295)  |  Patents (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3684 KB) | HTML iconHTML

    Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called instances). Most previous multiple-instance learning (MIL) algorithms are developed based on the assumption that a bag is positive if and only if at least one of its instances is positive. Although the assumption works ... View full abstract»

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  • Bayesian Gaussian Process Classification with the EM-EP Algorithm

    Publication Year: 2006, Page(s):1948 - 1959
    Cited by:  Papers (39)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1771 KB) | HTML iconHTML

    Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically related to the value of some latent function at that location. Starting from a Gaussian process prior over this latent function, data are used to infer both the posterior over the latent function and the values of hyperpar... View full abstract»

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  • MCMC Data Association and Sparse Factorization Updating for Real Time Multitarget Tracking with Merged and Multiple Measurements

    Publication Year: 2006, Page(s):1960 - 1972
    Cited by:  Papers (69)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1806 KB) | HTML iconHTML

    In several multitarget tracking applications, a target may return more than one measurement per target and interacting targets may return multiple merged measurements between targets. Existing algorithms for tracking and data association, initially applied to radar tracking, do not adequately address these types of measurements. Here, we introduce a probabilistic model for interacting targets that... View full abstract»

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  • On the Distribution of Saliency

    Publication Year: 2006, Page(s):1973 - 1990
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4702 KB) | HTML iconHTML

    Detecting salient structures is a basic task in perceptual organization. Saliency algorithms typically mark edge-points with some saliency measure, which grows with the length and smoothness of the curve on which these edge-points lie. Here, we propose a modified saliency estimation mechanism that is based on probabilistically specified grouping cues and on curve length distributions. In this fram... View full abstract»

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  • Shape Representation and Classification Using the Poisson Equation

    Publication Year: 2006, Page(s):1991 - 2005
    Cited by:  Papers (126)  |  Patents (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1687 KB) | HTML iconHTML

    We present a novel approach that allows us to reliably compute many useful properties of a silhouette. Our approach assigns, for every internal point of the silhouette, a value reflecting the mean time required for a random walk beginning at the point to hit the boundaries. This function can be computed by solving Poisson's equation, with the silhouette contours providing boundary conditions. We s... View full abstract»

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  • Dynamic Shape and Appearance Models

    Publication Year: 2006, Page(s):2006 - 2019
    Cited by:  Papers (14)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1780 KB) | HTML iconHTML

    We propose a model of the joint variation of shape and appearance of portions of an image sequence. The model is conditionally linear, and can be thought of as an extension of active appearance models to exploit the temporal correlation of adjacent image frames. Inference of the model parameters can be performed efficiently using established numerical optimization techniques borrowed from finite-e... View full abstract»

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  • Symbol Recognition with Kernel Density Matching

    Publication Year: 2006, Page(s):2020 - 2024
    Cited by:  Papers (26)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (800 KB) | HTML iconHTML

    We propose a novel approach to similarity assessment for graphic symbols. Symbols are represented as 2D kernel densities and their similarity is measured by the Kullback-Leibler divergence. Symbol orientation is found by gradient-based angle searching or independent component analysis. Experimental results show the outstanding performance of this approach in various situations View full abstract»

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  • Robust Pose Estimation from a Planar Target

    Publication Year: 2006, Page(s):2024 - 2030
    Cited by:  Papers (146)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1109 KB) | HTML iconHTML

    In theory, the pose of a calibrated camera can be uniquely determined from a minimum of four coplanar but noncollinear points. In practice, there are many applications of camera pose tracking from planar targets and there is also a number of recent pose estimation algorithms which perform this task in real-time, but all of these algorithms suffer from pose ambiguities. This paper investigates the ... View full abstract»

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  • Geometric Interpretations of the Relation between the Image of the Absolute Conic and Sphere Images

    Publication Year: 2006, Page(s):2031 - 2036
    Cited by:  Papers (23)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1204 KB) | HTML iconHTML

    A spherical object has been introduced into camera calibration for several years through utilizing the properties of an image conic, which is the projection of the occluding contour of a sphere in the perspective image. However, in literature, only an algebraic interpretation was presented for the relation between the image of the absolute conic and sphere images. In this paper, we propose two geo... View full abstract»

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  • Face Description with Local Binary Patterns: Application to Face Recognition

    Publication Year: 2006, Page(s):2037 - 2041
    Cited by:  Papers (2118)  |  Patents (22)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1090 KB) | HTML iconHTML

    This paper presents a novel and efficient facial image representation based on local binary pattern (LBP) texture features. The face image is divided into several regions from which the LBP feature distributions are extracted and concatenated into an enhanced feature vector to be used as a face descriptor. The performance of the proposed method is assessed in the face recognition problem under dif... View full abstract»

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  • A Luminance- and Contrast-Invariant Edge-Similarity Measure

    Publication Year: 2006, Page(s):2042 - 2048
    Cited by:  Papers (14)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1882 KB) | HTML iconHTML

    A novel similarity measure for edge-detection that is robust to varying luminance and contrast is presented. It incorporates a regularization term and employs directional FIR edge filters with hyperbolic tangent profiles to ensure improved noise performance and edge localization compared to classical methods View full abstract»

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  • Annual index

    Publication Year: 2006
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  • TPAMI Information for authors

    Publication Year: 2006, Page(s): c3
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  • [Back cover]

    Publication Year: 2006, Page(s): c4
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Aims & Scope

The IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) is published monthly. Its editorial board strives to present most important research results in areas within TPAMI's scope.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Sven Dickinson
University of Toronto
e-mail: sven@cs.toronto.edu