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IEEE Transactions on Pattern Analysis and Machine Intelligence

Issue 10 • Date Oct. 2007

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Displaying Results 1 - 23 of 23
  • [Front cover]

    Publication Year: 2007, Page(s): c1
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  • [Inside front cover]

    Publication Year: 2007, Page(s): c2
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  • Introduction of New Associate Editors

    Publication Year: 2007, Page(s):1681 - 1682
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  • Facial Action Unit Recognition by Exploiting Their Dynamic and Semantic Relationships

    Publication Year: 2007, Page(s):1683 - 1699
    Cited by:  Papers (97)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4566 KB) | HTML iconHTML

    A system that could automatically analyze the facial actions in real time has applications in a wide range of different fields. However, developing such a system is always challenging due to the richness, ambiguity, and dynamic nature of facial actions. Although a number of research groups attempt to recognize facial action units (AUs) by improving either the facial feature extraction techniques o... View full abstract»

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  • General Tensor Discriminant Analysis and Gabor Features for Gait Recognition

    Publication Year: 2007, Page(s):1700 - 1715
    Cited by:  Papers (317)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4974 KB) | HTML iconHTML

    Traditional image representations are not suited to conventional classification methods such as the linear discriminant analysis (LDA) because of the undersample problem (USP): the dimensionality of the feature space is much higher than the number of training samples. Motivated by the successes of the two-dimensional LDA (2DLDA) for face recognition, we develop a general tensor discriminant analys... View full abstract»

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  • High-Dimensional Unsupervised Selection and Estimation of a Finite Generalized Dirichlet Mixture Model Based on Minimum Message Length

    Publication Year: 2007, Page(s):1716 - 1731
    Cited by:  Papers (40)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4385 KB) | HTML iconHTML

    We consider the problem of determining the structure of high-dimensional data without prior knowledge of the number of clusters. Data are represented by a finite mixture model based on the generalized Dirichlet distribution. The generalized Dirichlet distribution has a more general covariance structure than the Dirichlet distribution and offers high flexibility and ease of use for the approximatio... View full abstract»

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  • Discriminant Subspace Analysis: A Fukunaga-Koontz Approach

    Publication Year: 2007, Page(s):1732 - 1745
    Cited by:  Papers (34)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2695 KB) | HTML iconHTML

    The Fisher linear discriminant (FLD) is commonly used in pattern recognition. It finds a linear subspace that maximally separates class patterns according to the Fisher criterion. Several methods of computing the FLD have been proposed in the literature, most of which require the calculation of the so-called scatter matrices. In this paper, we bring a fresh perspective to FLD via the Fukunaga-Koon... View full abstract»

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  • Condensed Nearest Neighbor Data Domain Description

    Publication Year: 2007, Page(s):1746 - 1758
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2798 KB) | HTML iconHTML

    A simple yet effective unsupervised classification rule to discriminate between normal and abnormal data is based on accepting test objects whose nearest neighbors' distances in a reference data set, assumed to model normal behavior, lie within a certain threshold. This work investigates the effect of using a subset of the original data set as the reference set of the classifier. With this aim, th... View full abstract»

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  • Learning to Transform Time Series with a Few Examples

    Publication Year: 2007, Page(s):1759 - 1775
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3105 KB) | HTML iconHTML

    We describe a semisupervised regression algorithm that learns to transform one time series into another time series given examples of the transformation. This algorithm is applied to tracking, where a time series of observations from sensors is transformed to a time series describing the pose of a target. Instead of defining and implementing such transformations for each tracking task separately, ... View full abstract»

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  • Epipolar Geometry of Opti-Acoustic Stereo Imaging

    Publication Year: 2007, Page(s):1776 - 1788
    Cited by:  Papers (14)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1808 KB) | HTML iconHTML

    Optical and sonar cameras are suitable imaging systems for inspecting underwater structures, both in regular maintenance and security operations. Despite their high resolution, optical systems have limited visibility range when deployed in turbid waters. In contrast, the new generation of high-frequency (MHz) forward-scan sonar cameras can provide images with enhanced target details in highly turb... View full abstract»

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  • Dynamosaicing: Mosaicing of Dynamic Scenes

    Publication Year: 2007, Page(s):1789 - 1801
    Cited by:  Papers (21)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4406 KB) | HTML iconHTML

    This paper explores the manipulation of time in video editing, which allows us to control the chronological time of events. These time manipulations include slowing down (or postponing) some dynamic events while speeding up (or advancing) others. When a video camera scans a scene, aligning all the events to a single time interval will result in a panoramic movie. Time manipulations are obtained by... View full abstract»

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  • Modeling Semantic Aspects for Cross-Media Image Indexing

    Publication Year: 2007, Page(s):1802 - 1817
    Cited by:  Papers (47)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3902 KB) | HTML iconHTML

    To go beyond the query-by-example paradigm in image retrieval, there is a need for semantic indexing of large image collections for intuitive text-based image search. Different models have been proposed to learn the dependencies between the visual content of an image set and the associated text captions, then allowing for the automatic creation of semantic indexes for unannotated images. The task,... View full abstract»

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  • Context-Based Object-Class Recognition and Retrieval by Generalized Correlograms

    Publication Year: 2007, Page(s):1818 - 1833
    Cited by:  Papers (20)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3461 KB) | HTML iconHTML

    We present a novel approach for retrieval of object categories based on a novel type of image representation: the generalized correlogram (GC). In our image representation, the object is described as a constellation of GCs, where each one encodes information about some local part and the spatial relations from this part to others (that is, the part's context). We show how such a representation can... View full abstract»

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  • Quasiconvex Optimization for Robust Geometric Reconstruction

    Publication Year: 2007, Page(s):1834 - 1847
    Cited by:  Papers (20)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1476 KB) | HTML iconHTML

    Geometric reconstruction problems in computer vision are often solved by minimizing a cost function that combines the reprojection errors in the 2D images. In this paper, we show that, for various geometric reconstruction problems, their reprojection error functions share a common and quasiconvex formulation. Based on the quasiconvexity, we present a novel quasiconvex optimization framework in whi... View full abstract»

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  • Hidden Conditional Random Fields

    Publication Year: 2007, Page(s):1848 - 1852
    Cited by:  Papers (129)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (880 KB) | HTML iconHTML

    We present a discriminative latent variable model for classification problems in structured domains where inputs can be represented by a graph of local observations. A hidden-state conditional random field framework learns a set of latent variables conditioned on local features. Observations need not be independent and may overlap in space and time. View full abstract»

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  • 2D Affine-Invariant Contour Matching Using B-Spline Model

    Publication Year: 2007, Page(s):1853 - 1858
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (858 KB) | HTML iconHTML

    This paper presents a new affine-invariant matching algorithm based on B-spline modeling, which solves the problem of the nonuniqueness of B-spline in curve matching. This method first smoothes the B-spline curve by increasing the degree of the curve. It is followed by a reduction of the curve degree using the least square error (LSE) approach to construct the curvature scale space (CSS) image. CS... View full abstract»

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  • Extreme Compression and Modeling of Bidirectional Texture Function

    Publication Year: 2007, Page(s):1859 - 1865
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2107 KB) | HTML iconHTML

    The recent advanced representation for realistic real-world materials in virtual reality applications is the bidirectional texture function (BTF), which describes rough texture appearance for varying illumination and viewing conditions. Such a function can be represented by thousands of measurements (images) per material sample. The resulting BTF size excludes its direct rendering in graphical app... View full abstract»

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  • On the Relationship Between Dependence Tree Classification Error and Bayes Error Rate

    Publication Year: 2007, Page(s):1866 - 1868
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (81 KB) | HTML iconHTML

    Wong and Poon (1989) showed that Chow and Liu's tree dependence approximation can be derived by minimizing an upper bound of the Bayes error rate. Wong and Poon's result was obtained by expanding the conditional entropy H(omega|X). We derive the correct expansion of H(omega|X) and present its implication. View full abstract»

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  • Comments on the CASIA version 1.0 Iris Data Set

    Publication Year: 2007, Page(s):1869 - 1870
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (206 KB) | HTML iconHTML

    We note that the images in the CASIA version 1.0 iris data set have been edited so that the pupil area is replaced by a circular region of uniform intensity. We recommend that this data set no longer be used in iris biometrics research unless there is a compelling reason that takes into account the nature of the images. In addition, based on our experience with the iris challenge evaluation (ICE) ... View full abstract»

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  • 180,000 aritlces in the IEEE Computer Society Digital Library [advertisement]

    Publication Year: 2007, Page(s): 1871
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  • Join the IEEE Computer Society

    Publication Year: 2007, Page(s): 1872
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  • TPAMI Information for authors

    Publication Year: 2007, Page(s): c3
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  • [Back cover]

    Publication Year: 2007, 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
David A. Forsyth
University of Illinois
e-mail: daf@illinois.edu