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IEEE Transactions on Pattern Analysis and Machine Intelligence

Issue 10 • Date Oct. 1995

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Displaying Results 1 - 8 of 8
  • Person identification using multiple cues

    Publication Year: 1995, Page(s):955 - 966
    Cited by:  Papers (224)  |  Patents (23)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1365 KB)

    This paper presents a person identification system based on acoustic and visual features. The system is organized as a set of non-homogeneous classifiers whose outputs are integrated after a normalization step. In particular, two classifiers based on acoustic features and three based on visual ones provide data for an integration module whose performance is evaluated. A novel technique for the int... View full abstract»

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  • Optimal ℒ1 approximation of the Gaussian kernel with application to scale-space construction

    Publication Year: 1995, Page(s):1015 - 1019
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (412 KB)

    Scale-space construction based on Gaussian filtering requires convolving signals with a large bank of Gaussian filters with different widths. We propose an efficient way for this purpose by L1 optimal approximation of the Gaussian kernel in terms of linear combinations of a small number of basis functions. Exploring total positivity of the Gaussian kernel, the method has the following ... View full abstract»

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  • Texture classification using noncausal hidden Markov models

    Publication Year: 1995, Page(s):1010 - 1014
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (464 KB)

    This paper addresses the problem of using noncausal hidden Markov models (HMMs) for texture classification. In noncausal models, the state of each pixel may be dependent on its neighbors in all directions. New algorithms are given to learn the parameters of a noncausal HMM of a texture and to classify it into one of several learned categories. Texture classification results using these algorithms ... View full abstract»

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  • The use of three- and four-dimensional surface harmonics for rigid and nonrigid shape recovery and representation

    Publication Year: 1995, Page(s):967 - 981
    Cited by:  Papers (40)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1396 KB)

    The use of spherical harmonics for rigid and nonrigid shape representation is well known. This paper extends the method to surface harmonics defined on domains other than the sphere and to four-dimensional spherical harmonics. These harmonics enable us to represent shapes which cannot be represented as a global function in spherical coordinates, but can be in other coordinate systems. Prolate and ... View full abstract»

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  • Logical/linear operators for image curves

    Publication Year: 1995, Page(s):982 - 996
    Cited by:  Papers (77)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1312 KB)

    We propose a language for designing image measurement operators suitable for early vision. We refer to them as logical/linear (L/L) operators, since they unify aspects of linear operator theory and Boolean logic. A family of these operators appropriate for measuring the low-order differential structure of image curves is developed. These L/L operators are derived by decomposing a linear model into... View full abstract»

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  • MINPRAN: a new robust estimator for computer vision

    Publication Year: 1995, Page(s):925 - 938
    Cited by:  Papers (105)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1260 KB)

    MINPRAN is a new robust estimator capable of finding good fits in data sets containing more than 50% outliers. Unlike other techniques that handle large outlier percentages, MINPRAN does not rely on a known error bound for the good data. Instead, it assumes the bad data are randomly distributed within the dynamic range of the sensor. Based on this, MINPRAN uses random sampling to search for the fi... View full abstract»

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  • Composition of image analysis processes through object-centered hierarchical planning

    Publication Year: 1995, Page(s):997 - 1009
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1368 KB)

    This paper presents a new approach to the knowledge-based composition of processes for image interpretation and analysis. Its computer implementation in the VISIPLAN (Vision Planner) system provides a way of modeling the composition of image analysis processes within a unified, object-centered hierarchical planning framework. The approach has been tested and shown to be flexible in handling a reas... View full abstract»

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  • Markov random field models for unsupervised segmentation of textured color images

    Publication Year: 1995, Page(s):939 - 954
    Cited by:  Papers (216)  |  Patents (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1136 KB)

    We present an unsupervised segmentation algorithm which uses Markov random field models for color textures. These models characterize a texture in terms of spatial interaction within each color plane and interaction between different color planes. The models are used by a segmentation algorithm based on agglomerative hierarchical clustering. At the heart of agglomerative clustering is a stepwise o... 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