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IEEE Transactions on Pattern Analysis and Machine Intelligence

Issue 3 • March 2004

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Displaying Results 1 - 18 of 18
  • Editorial - State of the transactions

    Publication Year: 2004, Page(s): 289
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  • Vision-based force measurement

    Publication Year: 2004, Page(s):290 - 298
    Cited by:  Papers (65)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (705 KB) | HTML iconHTML

    This paper demonstrates a method to visually measure the force distribution applied to a linearly elastic object using the contour data in an image. The force measurement is accomplished by making use of the result from linear elasticity that the displacement field of the contour of a linearly elastic object is sufficient to completely recover the force distribution applied to the object. This res... View full abstract»

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  • The writer independent online handwriting recognition system frog on hand and cluster generative statistical dynamic time warping

    Publication Year: 2004, Page(s):299 - 310
    Cited by:  Papers (67)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (912 KB) | HTML iconHTML

    In this paper, we give a comprehensive description of our writer-independent online handwriting recognition system frog on hand. The focus of this work concerns the presentation of the classification/training approach, which we call cluster generative statistical dynamic time warping (CSDTW). CSDTW is a general, scalable, HMM-based method for variable-sized, sequential data that holistically combi... View full abstract»

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  • Markov edit distance

    Publication Year: 2004, Page(s):311 - 321
    Cited by:  Papers (16)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (778 KB) | HTML iconHTML

    Edit distance was originally developed by Levenstein several decades ago to measure the distance between two strings. It was found that this distance can be computed by an elegant dynamic programming procedure. The edit distance has played important roles in a wide array of applications due to its representational efficacy and computational efficiency. To effect a more reasonable distance measure,... View full abstract»

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  • Automatic eyeglasses removal from face images

    Publication Year: 2004, Page(s):322 - 336
    Cited by:  Papers (34)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1841 KB) | HTML iconHTML

    In this paper, we present an intelligent image editing and face synthesis system that automatically removes eyeglasses from an input frontal face image. Although conventional image editing tools can be used to remove eyeglasses by pixel-level editing, filling in the deleted eyeglasses region with the right content is a difficult problem. Our approach works at the object level where the eyeglasses ... View full abstract»

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  • Machine printed text and handwriting identification in noisy document images

    Publication Year: 2004, Page(s):337 - 353
    Cited by:  Papers (91)  |  Patents (14)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2853 KB) | HTML iconHTML

    In this paper, we address the problem of the identification of text in noisy document images. We are especially focused on segmenting and identifying between handwriting and machine printed text because: 1) Handwriting in a document often indicates corrections, additions, or other supplemental information that should be treated differently from the main content and 2) the segmentation and recognit... View full abstract»

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  • A computational model for periodic pattern perception based on frieze and wallpaper groups

    Publication Year: 2004, Page(s):354 - 371
    Cited by:  Papers (88)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4660 KB) | HTML iconHTML

    We present a computational model for periodic pattern perception based on the mathematical theory of crystallographic groups. In each N-dimensional Euclidean space, a finite number of symmetry groups can characterize the structures of an infinite variety of periodic patterns. In 2D space, there are seven frieze groups describing monochrome patterns that repeat along one direction and 17 wallpaper ... View full abstract»

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  • Analysis of planar shapes using geodesic paths on shape spaces

    Publication Year: 2004, Page(s):372 - 383
    Cited by:  Papers (220)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1234 KB) | HTML iconHTML

    For analyzing shapes of planar, closed curves, we propose differential geometric representations of curves using their direction functions and curvature functions. Shapes are represented as elements of infinite-dimensional spaces and their pairwise differences are quantified using the lengths of geodesics connecting them on these spaces. We use a Fourier basis to represent tangents to the shape sp... View full abstract»

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  • Probabilistic space-time video modeling via piecewise GMM

    Publication Year: 2004, Page(s):384 - 396
    Cited by:  Papers (84)  |  Patents (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1925 KB) | HTML iconHTML

    In this paper, we describe a statistical video representation and modeling scheme. Video representation schemes are needed to segment a video stream into meaningful video-objects, useful for later indexing and retrieval applications. In the proposed methodology, unsupervised clustering via Gaussian mixture modeling extracts coherent space-time regions in feature space, and corresponding coherent s... View full abstract»

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  • Real-time tracking using trust-region methods

    Publication Year: 2004, Page(s):397 - 402
    Cited by:  Papers (61)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1365 KB) | HTML iconHTML

    Optimization methods based on iterative schemes can be divided into two classes: line-search methods and trust-region methods. While line-search techniques are commonly found in various vision applications, not much attention is paid to trust-region ones. Motivated by the fact that line-search methods can be considered as special cases of trust-region methods, we propose to establish a trust-regio... View full abstract»

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  • Gradient vector flow fast geometric active contours

    Publication Year: 2004, Page(s):402 - 407
    Cited by:  Papers (147)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (625 KB) | HTML iconHTML

    In this paper, we propose an edge-driven bidirectional geometric flow for boundary extraction. To this end, we combine the geodesic active contour flow and the gradient vector flow external force for snakes. The resulting motion equation is considered within a level set formulation, can deal with topological changes and important shape deformations. An efficient numerical schema is used for the fl... View full abstract»

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  • Strong Markov random field model

    Publication Year: 2004, Page(s):408 - 413
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (692 KB) | HTML iconHTML

    The strong Markov random field (strong-MRF) model is a submodel of the more general MRF-Gibbs model. The strong-MRF model defines a system whose field is Markovian with respect to a defined neighborhood, and all subneighborhoods are also Markovian. A checkerboard pattern is a perfect example of a strong Markovian system. Although the strong Markovian system requires a more stringent assumption abo... View full abstract»

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  • A probabilistic active support vector learning algorithm

    Publication Year: 2004, Page(s):413 - 418
    Cited by:  Papers (50)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (629 KB) | HTML iconHTML

    The paper describes a probabilistic active learning strategy for support vector machine (SVM) design in large data applications. The learning strategy is motivated by the statistical query model. While most existing methods of active SVM learning query for points based on their proximity to the current separating hyperplane, the proposed method queries for a set of points according to a distributi... View full abstract»

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  • Sampling the disparity space image

    Publication Year: 2004, Page(s):419 - 425
    Cited by:  Papers (45)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (810 KB) | HTML iconHTML

    A central issue in stereo algorithm design is the choice of matching cost. Many algorithms simply use squared or absolute intensity differences based on integer disparity steps. In this paper, we address potential problems with such approaches. We begin with a careful analysis of the properties of the continuous disparity space image (DSI) and propose several new matching cost variants based on sy... View full abstract»

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  • Nonlinear estimation of the fundamental matrix with minimal parameters

    Publication Year: 2004, Page(s):426 - 432
    Cited by:  Papers (30)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (911 KB) | HTML iconHTML

    The purpose of this paper is to give a very simple method for nonlinearly estimating the fundamental matrix using the minimum number of seven parameters. Instead of minimally parameterizing it, we rather update what we call its orthonormal representation, which is based on its singular value decomposition. We show how this method can be used for efficient bundle adjustment of point features seen i... View full abstract»

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  • IEEE Transactions on Pattern Analysis and Machine Intelligence - Table of Contents

    Publication Year: 2004, Page(s):01 - 04
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  • IEEE Transactions on Pattern Analysis and Machine Intelligence

    Publication Year: 2004, Page(s): 0_2
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    Freely Available from IEEE
  • Information for authors

    Publication Year: 2004, Page(s): 03
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    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
Sven Dickinson
University of Toronto
e-mail: sven@cs.toronto.edu