By Topic

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Issue 8 • Date Aug. 2007

Filter Results

Displaying Results 1 - 21 of 21
  • [Front cover]

    Publication Year: 2007, Page(s): c1
    Request permission for commercial reuse | PDF file iconPDF (138 KB)
    Freely Available from IEEE
  • [Inside front cover]

    Publication Year: 2007, Page(s): c2
    Request permission for commercial reuse | PDF file iconPDF (85 KB)
    Freely Available from IEEE
  • Biometric Recognition Using 3D Ear Shape

    Publication Year: 2007, Page(s):1297 - 1308
    Cited by:  Papers (84)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2359 KB) | HTML iconHTML

    Previous works have shown that the ear is a promising candidate for biometric identification. However, in prior work, the preprocessing of ear images has had manual steps and algorithms have not necessarily handled problems caused by hair and earrings. We present a complete system for ear biometrics, including automated segmentation of the ear in a profile view image and 3D shape matching for reco... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Parameter-Free Radial Distortion Correction with Center of Distortion Estimation

    Publication Year: 2007, Page(s):1309 - 1321
    Cited by:  Papers (61)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1366 KB) | HTML iconHTML

    We propose a method of simultaneously calibrating the radial distortion function of a camera and the other internal calibration parameters. The method relies on the use of a planar (or, alternatively, nonplanar) calibration grid which is captured in several images. In this way, the determination of the radial distortion is an easy add-on to the popular calibration method proposed. The method is en... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A Variational Approach to Problems in Calibration of Multiple Cameras

    Publication Year: 2007, Page(s):1322 - 1338
    Cited by:  Papers (14)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3073 KB) | HTML iconHTML

    This paper addresses the problem of calibrating camera parameters using variational methods. One problem addressed is the severe lens distortion in low-cost cameras. For many computer vision algorithms aiming at reconstructing reliable representations of 3D scenes, the camera distortion effects will lead to inaccurate 3D reconstructions and geometrical measurements if not accounted for. A second p... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Multiplexing for Optimal Lighting

    Publication Year: 2007, Page(s):1339 - 1354
    Cited by:  Papers (28)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2510 KB) | HTML iconHTML

    Imaging of objects under variable lighting directions is an important and frequent practice in computer vision, machine vision, and image-based rendering. Methods for such imaging have traditionally used only a single light source per acquired image. They may result in images that are too dark and noisy, e.g., due to the need to avoid saturation of highlights. We introduce an approach that can sig... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • The Second Order Local-Image-Structure Solid

    Publication Year: 2007, Page(s):1355 - 1366
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1246 KB) | HTML iconHTML Multimedia Media

    Characterization of second order local image structure by a 6D vector (or jet) of Gaussian derivative measurements is considered. We consider the affect on jets of a group of transformations-affine intensity-scaling, image rotation and reflection, and their compositions-that preserve intrinsic image structure. We show how this group stratifies the jet space into a system of orbits. Considering ind... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Unsupervised Statistical Segmentation of Nonstationary Images Using Triplet Markov Fields

    Publication Year: 2007, Page(s):1367 - 1378
    Cited by:  Papers (25)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (7924 KB) | HTML iconHTML

    Recent developments in statistical theory and associated computational techniques have opened new avenues for image modeling as well as for image segmentation techniques. Thus, a host of models have been proposed and the ones which have probably received considerable attention are the hidden Markov fields (HMF) models. This is due to their simplicity of handling and their potential for providing i... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Probabilistic Context-Free Grammars Estimated from Infinite Distributions

    Publication Year: 2007, Page(s):1379 - 1393
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (446 KB) | HTML iconHTML

    In this paper, we consider probabilistic context-free grammars, a class of generative devices that has been successfully exploited in several applications of syntactic pattern matching, especially in statistical natural language parsing. We investigate the problem of training probabilistic context-free grammars on the basis of distributions defined over an infinite set of trees or an infinite set ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Information Discriminant Analysis: Feature Extraction with an Information-Theoretic Objective

    Publication Year: 2007, Page(s):1394 - 1407
    Cited by:  Papers (24)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2821 KB) | HTML iconHTML Multimedia Media

    Using elementary information-theoretic tools, we develop a novel technique for linear transformation from the space of observations into a low-dimensional (feature) subspace for the purpose of classification. The technique is based on a numerical optimization of an information-theoretic objective function, which can be computed analytically. The advantages of the proposed method over several other... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A Bayesian, Exemplar-Based Approach to Hierarchical Shape Matching

    Publication Year: 2007, Page(s):1408 - 1421
    Cited by:  Papers (97)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4212 KB) | HTML iconHTML

    This paper presents a novel probabilistic approach to hierarchical, exemplar-based shape matching. No feature correspondence is needed among exemplars, just a suitable pairwise similarity measure. The approach uses a template tree to efficiently represent and match the variety of shape exemplars. The tree is generated offline by a bottom-up clustering approach using stochastic optimization. Online... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Deformation Models for Image Recognition

    Publication Year: 2007, Page(s):1422 - 1435
    Cited by:  Papers (41)  |  Patents (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3918 KB) | HTML iconHTML

    We present the application of different nonlinear image deformation models to the task of image recognition. The deformation models are especially suited for local changes as they often occur in the presence of image object variability. We show that, among the discussed models, there is one approach that combines simplicity of implementation, low-computational complexity, and highly competitive pe... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Approximate Labeling via Graph Cuts Based on Linear Programming

    Publication Year: 2007, Page(s):1436 - 1453
    Cited by:  Papers (62)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1388 KB) | HTML iconHTML

    A new framework is presented for both understanding and developing graph-cut-based combinatorial algorithms suitable for the approximate optimization of a very wide class of Markov random fields (MRFs) that are frequently encountered in computer vision. The proposed framework utilizes tools from the duality theory of linear programming in order to provide an alternative and more general view of st... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • TEXEMS: Texture Exemplars for Defect Detection on Random Textured Surfaces

    Publication Year: 2007, Page(s):1454 - 1464
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1884 KB) | HTML iconHTML

    We present an approach to detecting and localizing defects in random color textures which requires only a few defect free samples for unsupervised training. It is assumed that each image is generated by a superposition of various-size image patches with added variations at each pixel position. These image patches and their corresponding variances are referred to here as textural exemplars or texem... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Normalization-Cooperated Gradient Feature Extraction for Handwritten Character Recognition

    Publication Year: 2007, Page(s):1465 - 1469
    Cited by:  Papers (28)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1584 KB) | HTML iconHTML

    The gradient direction histogram feature has shown superior performance in character recognition. To alleviate the effect of stroke direction distortion caused by shape normalization and provide higher recognition accuracies, we propose a new feature extraction approach, called normalization-cooperated gradient feature (NCGF) extraction, which maps the gradient direction elements of original image... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Tracking Deforming Objects Using Particle Filtering for Geometric Active Contours

    Publication Year: 2007, Page(s):1470 - 1475
    Cited by:  Papers (71)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (277 KB) | HTML iconHTML

    Tracking deforming objects involves estimating the global motion of the object and its local deformations as a function of time. Tracking algorithms using Kalman filters or particle filters have been proposed for finite dimensional representations of shape, but these are dependent on the chosen parametrization and cannot handle changes in curve topology. Geometric active contours provide a framewo... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Image Noise Induced Errors in Camera Positioning

    Publication Year: 2007, Page(s):1476 - 1480
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (992 KB) | HTML iconHTML

    The problem of evaluating worst-case camera positioning error induced by unknown-but-bounded (UBB) image noise for a given object-camera configuration is considered. Specifically, it is shown that upper bounds to the rotation and translation worst-case error for a certain image noise intensity can be obtained through convex optimizations. These upper bounds, contrary to lower bounds provided by st... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Surface Deformation Models for Nonrigid 3D Shape Recovery

    Publication Year: 2007, Page(s):1481 - 1487
    Cited by:  Papers (33)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2441 KB) | HTML iconHTML

    Three-dimensional detection and shape recovery of a nonrigid surface from video sequences require deformation models to effectively take advantage of potentially noisy image data. Here, we introduce an approach to creating such models for deformable 3D surfaces. We exploit the fact that the shape of an inextensible triangulated mesh can be parameterized in terms of a small subset of the angles bet... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • 180,000 aritlces in the IEEE Computer Society Digital Library [advertisement]

    Publication Year: 2007, Page(s): 1488
    Request permission for commercial reuse | PDF file iconPDF (114 KB)
    Freely Available from IEEE
  • TPAMI Information for authors

    Publication Year: 2007, Page(s): c3
    Request permission for commercial reuse | PDF file iconPDF (85 KB)
    Freely Available from IEEE
  • [Back cover]

    Publication Year: 2007, Page(s): c4
    Request permission for commercial reuse | PDF file iconPDF (138 KB)
    Freely Available from IEEE

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