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IEEE Transactions on Pattern Analysis and Machine Intelligence

Issue 1 • Date Jan. 1986

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Displaying Results 1 - 20 of 20
  • [Front cover]

    Publication Year: 1986, Page(s): c1
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  • List of Contributors

    Publication Year: 1986, Page(s): nil1
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  • [Breaker page]

    Publication Year: 1986, Page(s): nil1
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  • Opinion

    Publication Year: 1986, Page(s): 1
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  • The Curvature Primal Sketch

    Publication Year: 1986, Page(s):2 - 14
    Cited by:  Papers (360)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2591 KB)

    In this paper we introduce a novel representation of the significant changes in curvature along the bounding contour of planar shape. We call the representation the Curvature Primal Sketch because of the close analogy to the primal sketch representation advocated by Marr for describing significant intensity changes. We define a set of primitive parameterized curvature discontinuities, and derive e... View full abstract»

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  • Scaling Theorems for Zero Crossings

    Publication Year: 1986, Page(s):15 - 25
    Cited by:  Papers (186)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2201 KB)

    We characterize some properties of the zero crossings of the Laplacian of signals¿in particular images¿filtered with linear filters, as a function of the scale of the filter (extending recent work by Witkin [16]). We prove that in any dimension the only filter that does not create generic zero crossings as the scale increases is the Gaussian. This result can be generalized to apply to level cros... View full abstract»

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  • Uniqueness of the Gaussian Kernel for Scale-Space Filtering

    Publication Year: 1986, Page(s):26 - 33
    Cited by:  Papers (197)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2295 KB)

    Scale-space filtering constructs hierarchic symbolic signal descriptions by transforming the signal into a continuum of versions of the original signal convolved with a kernal containing a scale or bandwidth parameter. It is shown that the Gaussian probability density function is the only kernel in a broad class for which first-order maxima and minima, respectively, increase and decrease when the ... View full abstract»

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  • Scale-Based Description and Recognition of Planar Curves and Two-Dimensional Shapes

    Publication Year: 1986, Page(s):34 - 43
    Cited by:  Papers (464)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3663 KB)

    The problem of finding a description, at varying levels of detail, for planar curves and matching two such descriptions is posed and solved in this paper. A number of necessary criteria are imposed on any candidate solution method. Path-based Gaussian smoothing techniques are applied to the curve to find zeros of curvature at varying levels of detail. The result is the ``generalized scale space'' ... View full abstract»

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  • HYPER: A New Approach for the Recognition and Positioning of Two-Dimensional Objects

    Publication Year: 1986, Page(s):44 - 54
    Cited by:  Papers (295)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (8075 KB)

    A new method has been designed to identify and locate objects lying on a flat surface. The merit of the approach is to provide strong robustness to partial occlusions (due for instance to uneven lighting conditions, shadows, highlights, touching and overlapping objects) thanks to a local and compact description of the objects boundaries and to a new fast recognition method involving generation and... View full abstract»

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  • An Autoregressive Model Approach to Two-Dimensional Shape Classification

    Publication Year: 1986, Page(s):55 - 66
    Cited by:  Papers (141)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2663 KB)

    In this paper, a method of classifying objects is reported that is based on the use of autoregressive (AR) model parameters which represent the shapes of boundaries detected in digitized binary images of the objects. The object identification technique is insensitive to object size and orientation. Three pattern recognition algorithms that assign object names to unlabelled sets of AR model paramet... View full abstract»

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  • Optimum Uniform Piecewise Linear Approximation of Planar Curves

    Publication Year: 1986, Page(s):67 - 75
    Cited by:  Papers (158)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1799 KB)

    Two-dimensional digital curves are often uniformly approximated by polygons or piecewise linear curves. Several algorithms have been proposed in the literature to find such curves. We present an algorithm that finds a piecewise linear curve with the minimal number of segments required to approximate a curve within a uniform error with fixed initial and final points. We compare our optimal algorith... View full abstract»

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  • Structural Analysis of Natural Textures

    Publication Year: 1986, Page(s):76 - 89
    Cited by:  Papers (54)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (8538 KB)

    Many textures can be described structurally, in terms of the individual textural elements and their spatial relationships. This paper describes a system to generate useful descriptions of natural textures in these terms. The basic approach is to determine an initial, partial description of the elements using edge features. This description controls the extraction of the texture elements. The eleme... View full abstract»

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  • Estimation of Object Motion Parameters from Noisy Images

    Publication Year: 1986, Page(s):90 - 99
    Cited by:  Papers (239)  |  Patents (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3036 KB)

    An approach is presented for the estimation of object motion parameters based on a sequence of noisy images. The problem considered is that of a rigid body undergoing unknown rotational and translational motion. The measurement data consists of a sequence of noisy image coordinates of two or more object correspondence points. By modeling the object dynamics as a function of time, estimates of the ... View full abstract»

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  • Perceptual Organization and Curve Partitioning

    Publication Year: 1986, Page(s):100 - 105
    Cited by:  Papers (55)  |  Patents (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3105 KB)

    In this paper we offer a critical evaluation of the partitioning (perceptual organization) problem, noting the extent to which it has distinct formulations and parameterizations. We show that most partitioning techniques can be characterized as variations of four distinct paradigms, and argue that any effective technique must satisfy two general principles. We give concrete substance to our genera... View full abstract»

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  • Range Measurements by a Mobile Robot Using a Navigation Line

    Publication Year: 1986, Page(s):105 - 109
    Cited by:  Papers (19)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1069 KB)

    A continuous, straight-edged line is used for the visual navigation of an autonomous mobile robot in a factor environment. This line, which resides on the floor and contrasts with background, may also be used to determine range information. Two methods are developed for determining the range of an object in the sensor's field of view. The effects of various error conditions in the system geometry ... View full abstract»

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  • On Kineopsis and Computation of Structure and Motion

    Publication Year: 1986, Page(s):109 - 112
    Cited by:  Papers (19)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (900 KB)

    This correspondence deals with the computation of structure and motion of rigid objects in space from image positions and optical flow. A test for rigid motion of objects in space is introduced which yields a new formulation of the problem. Assuming a central projection model for the viewing system, it is shown that image positions and optical flow at four points can achieve this perception. View full abstract»

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  • A Pattern Description and Generation Method of Structural Characters

    Publication Year: 1986, Page(s):112 - 118
    Cited by:  Papers (12)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1432 KB)

    We report a pattern description and generation method of structural characters, and show some examples of Chinese and Korean character patterns actually generated. We also consider its educational and graphical applications. In this method, any character is regarded as a composite pattern constructed by several simpler subpatterns, and is described in terms of them by introducing three kinds of po... View full abstract»

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  • Sum and Difference Histograms for Texture Classification

    Publication Year: 1986, Page(s):118 - 125
    Cited by:  Papers (125)  |  Patents (23)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2551 KB)

    The sum and difference of two random variables with same variances are decorrelated and define the principal axes of their associated joint probability function. Therefore, sum and difference histograms are introduced as an alternative to the usual co-occurrence matrices used for texture analysis. Two maximum likelihood texture classifiers are presented depending on the type of object used for tex... View full abstract»

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  • Information for authors

    Publication Year: 1986, Page(s): 126
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  • [Breaker page]

    Publication Year: 1986, Page(s):127 - 128
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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