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IEEE Transactions on Pattern Analysis and Machine Intelligence

Issue 6 • Date Jun 1999

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Displaying Results 1 - 9 of 9
  • An omnifont open-vocabulary OCR system for English and Arabic

    Publication Year: 1999, Page(s):495 - 504
    Cited by:  Papers (87)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (124 KB)

    We present an omnifont, unlimited-vocabulary OCR system for English and Arabic. The system is based on hidden Markov models (HMM), an approach that has proven to be very successful in the area of automatic speech recognition. We focus on two aspects of the OCR system. First, we address the issue of how to perform OCR on omnifont and multi-style data, such as plain and italic, without the need to h... View full abstract»

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  • Maximum likelihood estimation methods for multispectral random field image models

    Publication Year: 1999, Page(s):537 - 543
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (812 KB)

    Considers the problem of estimating parameters of multispectral random field (RF) image models using maximum likelihood (ML) methods. For images with an assumed Gaussian distribution, analytical results are developed for multispectral simultaneous autoregressive (MSAR) and Markov random field (MMRF) models which lead to practical procedures for calculating ML estimates. Although previous work has ... View full abstract»

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  • Robust tracking of position and velocity with Kalman snakes

    Publication Year: 1999, Page(s):564 - 569
    Cited by:  Papers (147)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (512 KB)

    A new Kalman-filter based active contour model is proposed for tracking of nonrigid objects in combined spatio-velocity space. The model employs measurements of gradient-based image potential and of optical-flow along the contour as system measurements. In order to improve robustness to image clutter and to occlusions an optical-flow based detection mechanism is proposed. The method detects and re... View full abstract»

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  • A Markov pixon information approach for low-level image description

    Publication Year: 1999, Page(s):482 - 494
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2836 KB)

    The problem of extracting information from an image which corresponds to early stage processing in vision is addressed. We propose a new approach (the MPI approach) which simultaneously provides a restored image, a segmented image and a map which reflects the local scale for representing the information. Embedded in a Bayesian framework, this approach is based on an information prior, a pixon mode... View full abstract»

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  • A Kalman filter approach to direct depth estimation incorporating surface structure

    Publication Year: 1999, Page(s):570 - 575
    Cited by:  Papers (36)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (420 KB)

    The problem of depth-from-motion using a monocular image sequence is considered. A pixel-based model is developed for direct depth estimation within a Kalman filtering framework. A method is proposed for incorporating local surface structure into the Kalman filter. Experimental results are provided to illustrate the effect of structural information on depth estimation View full abstract»

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  • Face detection from color images using a fuzzy pattern matching method

    Publication Year: 1999, Page(s):557 - 563
    Cited by:  Papers (109)  |  Patents (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2636 KB)

    This paper describes a new method to detect faces in color images based on the fuzzy theory. We make two fuzzy models to describe the skin color and hair color, respectively. In these models, we use a perceptually uniform color space to describe the color information to increase the accuracy and stableness. We use the two models to extract the skin color regions and the hair color regions, and the... View full abstract»

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  • Geometric and illumination invariants for object recognition

    Publication Year: 1999, Page(s):505 - 536
    Cited by:  Papers (49)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (6180 KB)

    We propose invariant formulations that can potentially be combined into a single system. In particular, we describe a framework for computing invariant features which are insensitive to rigid motion, affine transform, changes of parameterization and scene illumination, perspective transform, and view point change. This is unlike most current research on image invariants which concentrates on eithe... View full abstract»

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  • Adaptive image segmentation with distributed behavior-based agents

    Publication Year: 1999, Page(s):544 - 551
    Cited by:  Papers (46)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1364 KB)

    Presents an autonomous agent-based image segmentation approach. In this approach, a digital image is viewed as a two-dimensional cellular environment which the agents inhabit and attempt to label homogeneous segments. In so doing, the agents rely on some reactive behaviors such as breeding and diffusion. The agents that are successful in finding the pixels of a specific homogeneous segment will br... View full abstract»

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  • Design of multiparameter steerable functions using cascade basis reduction

    Publication Year: 1999, Page(s):552 - 556
    Cited by:  Papers (14)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (304 KB)

    An efficient method of computing the least-squares optimal basis functions to steer any function locally is presented. The method combines the Lie group-theoretic and the singular value decomposition approaches. Its efficiency is demonstrated with the design of basis functions to steer a Gabor function under the four-parameter linear transformation group 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