By Topic

IEEE Transactions on Pattern Analysis and Machine Intelligence

Issue 11 • Date Nov. 2005

Filter Results

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

    Publication Year: 2005, Page(s): c1
    Request permission for commercial reuse | PDF file iconPDF (138 KB)
    Freely Available from IEEE
  • [Inside front cover]

    Publication Year: 2005, Page(s): c2
    Request permission for commercial reuse | PDF file iconPDF (73 KB)
    Freely Available from IEEE
  • Introduction of New Associate Editors

    Publication Year: 2005, Page(s): 1685
    Request permission for commercial reuse | PDF file iconPDF (81 KB)
    Freely Available from IEEE
  • Open set face recognition using transduction

    Publication Year: 2005, Page(s):1686 - 1697
    Cited by:  Papers (28)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1040 KB) | HTML iconHTML

    This paper motivates and describes a novel realization of transductive inference that can address the open set face recognition task. Open set operates under the assumption that not all the test probes have mates in the gallery. It either detects the presence of some biometric signature within the gallery and finds its identity or rejects it, i.e., it provides for the "none of the above" answer. T... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A biometric identification system based on eigenpalm and eigenfinger features

    Publication Year: 2005, Page(s):1698 - 1709
    Cited by:  Papers (106)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1162 KB) | HTML iconHTML

    This paper presents a multimodal biometric identification system based on the features of the human hand. We describe a new biometric approach to personal identification using eigenfinger and eigenpalm features, with fusion applied at the matching-score level. The identification process can be divided into the following phases: capturing the image; preprocessing; extracting and normalizing the pal... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Scalable model-based clustering for large databases based on data summarization

    Publication Year: 2005, Page(s):1710 - 1719
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (911 KB) | HTML iconHTML

    The scalability problem in data mining involves the development of methods for handling large databases with limited computational resources such as memory and computation time. In this paper, two scalable clustering algorithms, bEMADS and gEMADS, are presented based on the Gaussian mixture model. Both summarize data into subclusters and then generate Gaussian mixtures from their data summaries. T... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Texture for script identification

    Publication Year: 2005, Page(s):1720 - 1732
    Cited by:  Papers (40)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1005 KB) | HTML iconHTML

    The problem of determining the script and language of a document image has a number of important applications in the field of document analysis, such as indexing and sorting of large collections of such images, or as a precursor to optical character recognition (OCR). In this paper, we investigate the use of texture as a tool for determining the script of a document image, based on the observation... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Estimating the pen trajectories of static signatures using hidden Markov models

    Publication Year: 2005, Page(s):1733 - 1746
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1455 KB) | HTML iconHTML

    Static signatures originate as handwritten images on documents and by definition do not contain any dynamic information. This lack of information makes static signature verification systems significantly less reliable than their dynamic counterparts. This study involves extracting dynamic information from static images, specifically the pen trajectory while the signature was created. We assume tha... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Variational maximum a posteriori by annealed mean field analysis

    Publication Year: 2005, Page(s):1747 - 1761
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1934 KB) | HTML iconHTML

    This paper proposes a novel probabilistic variational method with deterministic annealing for the maximum a posteriori (MAP) estimation of complex stochastic systems. Since the MAP estimation involves global optimization, in general, it is very difficult to achieve. Therefore, most probabilistic inference algorithms are only able to achieve either the exact or the approximate posterior distributio... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Dynamic trees for unsupervised segmentation and matching of image regions

    Publication Year: 2005, Page(s):1762 - 1777
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2583 KB) | HTML iconHTML

    We present a probabilistic framework namely, multiscale generative models known as dynamic trees (DT), for unsupervised image segmentation and subsequent matching of segmented regions in a given set of images. Beyond these novel applications of DTs, we propose important additions for this modeling paradigm. First, we introduce a novel DT architecture, where multilayered observable data are incorpo... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Bayesian modeling of dynamic scenes for object detection

    Publication Year: 2005, Page(s):1778 - 1792
    Cited by:  Papers (223)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2142 KB) | HTML iconHTML

    Accurate detection of moving objects is an important precursor to stable tracking or recognition. In this paper, we present an object detection scheme that has three innovations over existing approaches. First, the model of the intensities of image pixels as independent random variables is challenged and it is asserted that useful correlation exists in intensities of spatially proximal pixels. Thi... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Robustness of shape descriptors to incomplete contour representations

    Publication Year: 2005, Page(s):1793 - 1804
    Cited by:  Papers (17)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1329 KB) | HTML iconHTML

    With inspiration from psychophysical researches of the human visual system, we propose a novel aspect and a method for performance evaluation of contour-based shape recognition algorithms regarding their robustness to incompleteness of contours. We use complete contour representations of objects as a reference (training) set. Incomplete contour representations of the same objects are used as a tes... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • MCMC-based particle filtering for tracking a variable number of interacting targets

    Publication Year: 2005, Page(s):1805 - 1819
    Cited by:  Papers (285)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (874 KB) | HTML iconHTML

    We describe a particle filter that effectively deals with interacting targets, targets that are influenced by the proximity and/or behavior of other targets. The particle filter includes a Markov random field (MRF) motion prior that helps maintain the identity of targets throughout an interaction, significantly reducing tracker failures. We show that this MRF prior can be easily implemented by inc... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A model (in)validation approach to gait classification

    Publication Year: 2005, Page(s):1820 - 1825
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (468 KB) | HTML iconHTML

    This paper addresses the problem of human gait classification from a robust model (in)validation perspective. The main idea is to associate to each class of gaits a nominal model, subject to bounded uncertainty and measurement noise. In this context, the problem of recognizing an activity from a sequence of frames can be formulated as the problem of determining whether this sequence could have bee... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Using line segments as structuring elements for sampling-invariant measurements

    Publication Year: 2005, Page(s):1826 - 1831
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (644 KB) | HTML iconHTML

    When performing measurements in digitized images, the pixel pitch does not necessarily limit the attainable accuracy. Proper sampling of a bandlimited continuous-domain image preserves all information present in the image prior to digitization. It is therefore (theoretically) possible to obtain measurements from the digitized image that are identical to measurements made in the continuous domain. ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Efficient shape matching using shape contexts

    Publication Year: 2005, Page(s):1832 - 1837
    Cited by:  Papers (116)  |  Patents (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (621 KB) | HTML iconHTML

    We demonstrate that shape contexts can be used to quickly prune a search for similar shapes. We present two algorithms for rapid shape retrieval: representative shape contexts, performing comparisons based on a small number of shape contexts, and shapemes, using vector quantization in the space of shape contexts to obtain prototypical shape pieces. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Coupled parametric active contours

    Publication Year: 2005, Page(s):1838 - 1842
    Cited by:  Papers (61)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (324 KB) | HTML iconHTML

    We propose an extension of parametric active contours designed to track nonoccluding objects transiently touching each other, a task where both parametric and single level set-based methods usually fail. Our technique minimizes a cost functional that depends on all contours simultaneously and includes a penalty for contour overlaps. This scheme allows us to take advantage of known constraints on o... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • [Advertisement]

    Publication Year: 2005, Page(s): 1843
    Request permission for commercial reuse | PDF file iconPDF (483 KB)
    Freely Available from IEEE
  • [Advertisement]

    Publication Year: 2005, Page(s): 1844
    Request permission for commercial reuse | PDF file iconPDF (347 KB)
    Freely Available from IEEE
  • TPAMI Information for authors

    Publication Year: 2005, Page(s): c3
    Request permission for commercial reuse | PDF file iconPDF (73 KB)
    Freely Available from IEEE
  • [Back cover]

    Publication Year: 2005, Page(s): c4
    Request permission for commercial reuse | PDF file iconPDF (126 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