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IEEE Transactions on Pattern Analysis and Machine Intelligence

Issue 4 • Date April 2008

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Displaying Results 1 - 22 of 22
  • [Front cover]

    Publication Year: 2008, Page(s): c1
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  • [Inside front cover]

    Publication Year: 2008, Page(s): c2
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  • Introduction of New Associate Editors

    Publication Year: 2008, Page(s): 561
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  • Robust Radiometric Calibration and Vignetting Correction

    Publication Year: 2008, Page(s):562 - 576
    Cited by:  Papers (60)  |  Patents (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4804 KB) | HTML iconHTML

    In many computer vision systems, it is assumed that the image brightness of a point directly reflects the scene radiance of the point. However, the assumption does not hold in most cases due to nonlinear camera response function, exposure changes, and vignetting. The effects of these factors are most visible in image mosaics and textures of 3D models where colors look inconsistent and notable boun... View full abstract»

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  • Border and SurfaceTracing - Theoretical Foundations

    Publication Year: 2008, Page(s):577 - 590
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2255 KB) | HTML iconHTML

    In this paper, we define and study digital manifolds of arbitrary dimension, and provide (in particular) a general theoretical basis for curve or surface tracing in picture analysis. The studies involve properties such as the one-dimensionality of digital curves and (n - 1)-dimensionality of digital hypersurfaces that makes them discrete analogs of corresponding notions in continuous topology. The... View full abstract»

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  • Geometric Rectification of Camera-Captured Document Images

    Publication Year: 2008, Page(s):591 - 605
    Cited by:  Papers (42)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (5355 KB) | HTML iconHTML

    Compared to typical scanners, handheld cameras offer convenient, flexible, portable, and noncontact image capture, which enables many new applications and breathes new life into existing ones. However, camera-captured documents may suffer from distortions caused by a nonplanar document shape and perspective projection, which lead to the failure of current optical character recognition (OCR) techno... View full abstract»

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  • Maximum Confidence Hidden Markov Modeling for Face Recognition

    Publication Year: 2008, Page(s):606 - 616
    Cited by:  Papers (18)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2793 KB) | HTML iconHTML

    This paper presents a hybrid framework of feature extraction and hidden Markov modeling (HMM) for two-dimensional pattern recognition. Importantly, we explore a new discriminative training criterion to assure model compactness and discriminability. This criterion is derived from the hypothesis test theory via maximizing the confidence of accepting the hypothesis that observations are from target H... View full abstract»

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  • Image Stitching Using Structure Deformation

    Publication Year: 2008, Page(s):617 - 631
    Cited by:  Papers (37)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3705 KB) | HTML iconHTML

    The aim of this paper is to achieve seamless image stitching without producing visual artifact caused by severe intensity discrepancy and structure misalignment, given that the input images are roughly aligned or globally registered. Our new approach is based on structure deformation and propagation for achieving the overall consistency in image structure and intensity. The new stitching algorithm... View full abstract»

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  • MAC: Magnetostatic Active Contour Model

    Publication Year: 2008, Page(s):632 - 646
    Cited by:  Papers (40)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3127 KB) | HTML iconHTML

    We propose an active contour model using an external force field that is based on magnetostatics and hypothesized magnetic interactions between the active contour and object boundaries. The major contribution of the method is that the interaction of its forces can greatly improve the active contour in capturing complex geometries and dealing with difficult initializations, weak edges, and broken b... View full abstract»

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  • Bayes Optimality in Linear Discriminant Analysis

    Publication Year: 2008, Page(s):647 - 657
    Cited by:  Papers (69)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2489 KB) | HTML iconHTML

    We present an algorithm that provides the one-dimensional subspace, where the Bayes error is minimized for the C class problem with homoscedastic Gaussian distributions. Our main result shows that the set of possible one-dimensional spaces v, for which the order of the projected class means is identical, defines a convex region with associated convex Bayes error function g(v). This allows for the ... View full abstract»

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  • Between Classification-Error Approximation and Weighted Least-Squares Learning

    Publication Year: 2008, Page(s):658 - 669
    Cited by:  Papers (29)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3854 KB) | HTML iconHTML

    This paper presents a deterministic solution to an approximated classification-error-based objective function. In the formulation, we propose a quadratic approximation as the function for achieving smooth error counting. The solution is subsequently found to be related to the weighted least-squares, whereby a robust tuning process can be incorporated. The tuning traverses between the least- square... View full abstract»

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  • Dependent Multiple Cue Integration for Robust Tracking

    Publication Year: 2008, Page(s):670 - 685
    Cited by:  Papers (39)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3371 KB) | HTML iconHTML

    We propose a new technique for fusing multiple cues to robustly segment an object from its background in video sequences that suffer from abrupt changes of both illumination and position of the target. Robustness is achieved by the integration of appearance and geometric object features and by their estimation using Bayesian filters, such as Kalman or particle filters. In particular, each filter e... View full abstract»

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  • Hole Filling of a 3D Model by Flipping Signs of a Signed Distance Field in Adaptive Resolution

    Publication Year: 2008, Page(s):686 - 699
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3129 KB) | HTML iconHTML

    When we use range finders to observe the shape of an object, many occluded areas may occur. These become holes and gaps in the model and make it undesirable for various applications. We propose a novel method to fill holes and gaps to complete this incomplete model. As an intermediate representation, we use a signed distance field (SDF), which stores euclidean signed distances from a voxel to the ... View full abstract»

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  • Unsupervised Learning of Discriminative Edge Measures for Vehicle Matching between Nonoverlapping Cameras

    Publication Year: 2008, Page(s):700 - 711
    Cited by:  Papers (16)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2487 KB) | HTML iconHTML

    This paper proposes a novel unsupervised algorithm learning discriminative features in the context of matching road vehicles between two nonoverlapping cameras. The matching problem is formulated as a same-different classification problem; which aims to compute the probability of vehicle images from two distinct cameras being from the same vehicle or different vehicle(s). We employ a novel measure... View full abstract»

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  • Scene Classification Using a Hybrid Generative/Discriminative Approach

    Publication Year: 2008, Page(s):712 - 727
    Cited by:  Papers (323)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3715 KB) | HTML iconHTML

    We investigate whether dimensionality reduction using a latent generative model is beneficial for the task of weakly supervised scene classification. In detail, we are given a set of labeled images of scenes (for example, coast, forest, city, river, etc.), and our objective is to classify a new image into one of these categories. Our approach consists of first discovering latent ";topics"; using p... View full abstract»

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  • An Improved Physically-Based Method for Geometric Restoration of Distorted Document Images

    Publication Year: 2008, Page(s):728 - 734
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2096 KB) | HTML iconHTML

    In document digitization through camera-based systems, simple imaging setups often produce geometric distortions in the resultant 2D images because of the nonplanar geometric shapes of certain documents such as thick bound books, rolled, folded, or crumpled materials, etc. Previous work [1], [2], [3], [4] has demonstrated that arbitrary warped documents can be successfully restored by flattening a... View full abstract»

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  • Error-Dependency Relationships for the Naïve Bayes Classifier with Binary Features

    Publication Year: 2008, Page(s):735 - 740
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1027 KB) | HTML iconHTML

    We derive a tight dependency-related bound on the difference between the NB error and Bayes error for the case of two binary features and two classes. A measure of feature dependency is proposed for multiple features. Simulations and experiments with 23 real data sets were carried out. View full abstract»

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  • A Rich Discrete Labeling Scheme for Line Drawings of Curved Objects

    Publication Year: 2008, Page(s):741 - 745
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (899 KB) | HTML iconHTML

    We present a discrete labeling scheme for line drawings of curved objects which can be seen as an information-rich extension of the classic line-labeling scheme in which lines are classified as convex, concave, occluding, or extremal. New labels are introduced to distinguish between curved and planar surface-patches, to identify orthogonal edges and to indicate gradient directions of planar surfac... View full abstract»

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  • Robust Foreground Detection In Video Using Pixel Layers

    Publication Year: 2008, Page(s):746 - 751
    Cited by:  Papers (35)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1590 KB) | HTML iconHTML

    A framework for robust foreground detection that works under difficult conditions such as dynamic background and moderately moving camera is presented in this paper. The proposed method includes two main components: coarse scene representation as the union of pixel layers, and foreground detection in video by propagating these layers using a maximum-likelihood assignment. We first cluster into "la... View full abstract»

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  • Join the IEEE Computer Society [advertisement]

    Publication Year: 2008, Page(s): 752
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  • TPAMI Information for authors

    Publication Year: 2008, Page(s): c3
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  • [Back cover]

    Publication Year: 2008, 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