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IEEE Transactions on Pattern Analysis and Machine Intelligence

Issue 4 • Date Apr 2001

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Displaying Results 1 - 9 of 9
  • Probability models for clutter in natural images

    Publication Year: 2001, Page(s):424 - 429
    Cited by:  Papers (49)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2732 KB) | HTML iconHTML

    We propose a framework for modeling clutter in natural images. Assuming that: 1) images are made up of 2D (projected) views of 3D (real) objects and 2) certain simplifying conditions hold, we derive an analytical density for natural images. This expression is shown to match well with the observed densities (histograms). In addition to deriving multidimensional densities, several extensions are als... View full abstract»

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  • Marginal maximum entropy partitioning yields asymptotically consistent probability density functions

    Publication Year: 2001, Page(s):414 - 417
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (272 KB) | HTML iconHTML

    The marginal maximum entropy criterion has been used to guide recursive partitioning of a continuous sample space. Although the criterion has been successfully applied in pattern discovery applications, its theoretical justification has not been clearly addressed. In the paper, it is shown that the basic marginal maximum entropy partitioning algorithm yields asymptotically consistent density estim... View full abstract»

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  • Minimal projective reconstruction including missing data

    Publication Year: 2001, Page(s):418 - 424
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (380 KB) | HTML iconHTML

    The minimal data necessary for projective reconstruction from image points is well-known when each object point is visible in all images. We formulate and propose solutions to a family of reconstruction problems for multiple images from minimal data, where there are missing points in some of the images. The ability to handle the minimal cases with missing data is of great theoretical and practical... View full abstract»

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  • Mutual information theory for adaptive mixture models

    Publication Year: 2001, Page(s):396 - 403
    Cited by:  Papers (23)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (612 KB) | HTML iconHTML

    Many pattern recognition systems need to estimate an underlying probability density function (pdf). Mixture models are commonly used for this purpose in which an underlying pdf is estimated by a finite mixing of distributions. The basic computational element of a density mixture model is a component with a nonlinear mapping function, which takes part in mixing. Selecting an optimal set of componen... View full abstract»

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  • Affine-invariant recognition of gray-scale characters using global affine transformation correlation

    Publication Year: 2001, Page(s):384 - 395
    Cited by:  Papers (31)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (864 KB) | HTML iconHTML

    Describes a technique of gray-scale character recognition that offers both noise tolerance and affine-invariance. The key ideas are twofold. First is the use of normalized cross-correlation as a matching measure to realize noise tolerance. Second is the application of global affine transformation (GAT) to the input image so as to achieve affine-invariant correlation with the target image. In parti... View full abstract»

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  • Olfactory classification via interpoint distance analysis

    Publication Year: 2001, Page(s):404 - 413
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (672 KB) | HTML iconHTML

    Detection of the presence of a single prespecified chemical analyte at low concentration in complex backgrounds is a difficult application for chemical sensors. The article considers a database of artificial nose observations designed specifically to allow for the investigation of chemical sensor data analysis performance on the problem of trichloroethylene (TCE) detection. We consider an approach... View full abstract»

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  • Information theoretic measure for visual target distinctness

    Publication Year: 2001, Page(s):362 - 383
    Cited by:  Papers (25)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4408 KB) | HTML iconHTML

    It is of great benefit to have advance knowledge of human visual target acquisition performance for targets or other relevant objects. However, search performance inherently shows a large variance and depends strongly on prior knowledge of the perceived scene. A typical search experiment therefore requires a large number of observers to obtain statistically reliable data. Moreover, measuring targe... View full abstract»

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  • Example-based object detection in images by components

    Publication Year: 2001, Page(s):349 - 361
    Cited by:  Papers (323)  |  Patents (25)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2932 KB) | HTML iconHTML

    We present a general example-based framework for detecting objects in static images by components. The technique is demonstrated by developing a system that locates people in cluttered scenes. The system is structured with four distinct example-based detectors that are trained to separately find the four components of the human body: the head, legs, left arm, and right arm. After ensuring that the... View full abstract»

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  • Gauss-Markov measure field models for low-level vision

    Publication Year: 2001, Page(s):337 - 348
    Cited by:  Papers (22)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (720 KB) | HTML iconHTML

    We present a class of models, derived from classical discrete Markov random fields, that may be used for the solution of ill-posed problems in image processing and in computational vision. They lead to reconstruction algorithms that are flexible, computationally efficient, and biologically plausible. To illustrate their use, we present their application to the reconstruction of the dominant orient... View full abstract»

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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.

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Meet Our Editors

Editor-in-Chief
David A. Forsyth
University of Illinois
e-mail: daf@illinois.edu