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Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

21-24 April 1994

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Displaying Results 1 - 25 of 29
  • Motion estimation using the multiresolution analysis of L/sup 2/(R/sup 3/)

    Publication Year: 1994, Page(s):124 - 129
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (433 KB)

    A multiresolution analysis (MRA) of L/sup 2/(R/sup 3/), which supports an orthogonal wavelet decomposition and a quadrature mirror filter pyramid algorithm, is the framework for estimating image motion. Instead of the usual iterative pyramid algorithm, a fast, direct derivation of coarse resolution space-time images within the MRA is developed. Two spatio-temporal filtering methods are described. ... View full abstract»

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  • Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

    Publication Year: 1994
    Request permission for commercial reuse | PDF file iconPDF (72 KB)
    Freely Available from IEEE
  • Stereo vision using Gabor wavelets

    Publication Year: 1994, Page(s):13 - 17
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (468 KB)

    The analysis of video images in stereo can extend machine vision to interpret the 3-D structure of a scene. Applications of stereo vision include robotics, industrial automation, autonomous land rovers and automated cartography. The simplest stereo paradigm, binocular stereo vision, provides man and many animals the capability to see the depth from two images without ambiguity. Thus, it is interes... View full abstract»

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  • Radar imaging using 2D adaptive non-parametric extrapolation and autoregressive modeling

    Publication Year: 1994, Page(s):70 - 75
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (260 KB)

    Two approaches are described to obtain range-Doppler images using either adaptive weighted norm extrapolation or autoregressive modeling. These approaches are used to extend two dimensional data in the frequency-space aperture plane. The data collection process is viewed as sampling limited to a two dimensional window area, corresponding to a set of frequency bounds and observation angles. Image f... View full abstract»

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  • Parameter estimation and applications of a class of Gaussian image models

    Publication Year: 1994, Page(s):18 - 23
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (380 KB)

    This paper discusses variations of a model of images and develops algorithms for estimation of all the parameters from the raw image data. The model is suitable for some cases of (1) lossy image compression and realistic reconstruction, (2) texture synthesis and identification, (3) classification of remotely sensed data, and (4) analysis of medical images. Each pixel in the image is modeled as an ... View full abstract»

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  • Sensitivity analysis of similarity metrices for image matching

    Publication Year: 1994, Page(s):76 - 81
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (452 KB)

    This paper presents simulation results on the performance of similarity metrices for image matching. Specifically, matching and determining the transformation between slightly rotated images are addressed. The use of a correlation function and an error function as similarity metrices is reexamined when there is a coupling between translation and rotation. Sensitivity of these two metrices in the a... View full abstract»

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  • Theoretical and experimental comparison of the Lorenz information measure, entropy, and the mean absolute error

    Publication Year: 1994, Page(s):24 - 29
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (476 KB)

    The Lorenz (1905) information measure (LIM) is a function of the observed probability sequence of digital signals, similar to the signal entropy, and is approximately linearly related to the mean absolute error (MAE) in simulations employing uncorrupted and corrupted 2-dimensional Gaussian and magnetic resonance (MR) images. Unlike the MAE, the LIM does not require an uncorrupted reference signal ... View full abstract»

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  • Contrast enhancement for mailpiece images

    Publication Year: 1994, Page(s):82 - 87
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (372 KB)

    The authors present techniques for improving the contrast in spectrally variant images of mailpieces. These techniques were investigated for a system that captures mailpiece images and performs address interpretation in real-time. Hence it was necessary to satisfy both time constraint and an enhancement criterion. The methods developed are fast and are suitable for real-time applications. The larg... View full abstract»

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  • Analysis of sensor movement errors in monocular vision-based tracking systems

    Publication Year: 1994, Page(s):30 - 35
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (440 KB)

    When a vision sensor is used to track an object in an outdoor realistic navigational environment, it is subjected to unexpected movements or vibrations of the mounting platform. In this paper, the performance of such a setup in terms of range and heading angle errors is studied. The noise generated by the navigational environment is represented in two ways: sensor rotation angle errors and image c... View full abstract»

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  • Artificially intelligent 3D industrial inspection system for metal inspection

    Publication Year: 1994, Page(s):130 - 135
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (424 KB)

    Industrial inspection systems have been in use for some time now. However to-date these systems have been built specifically for the application in which it will function. This has lead to such systems becoming obsolete if the manufacturing process changes. Such systems also relied on the programmer's competence in selecting appropriate algorithms to carry out the tasks of image processing and seg... View full abstract»

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  • A nonlinear algorithm for critical point detection

    Publication Year: 1994, Page(s):42 - 47
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (320 KB)

    The authors present a nonlinear algorithm for critical point detection (CPD). The algorithm eliminates the problems arising from curvature approximation and Gaussian filtering in the existing algorithms. By defining a “critical level” as the modified area confined by three consecutive “pseudo-critical points”, a simple but very effective algorithm is developed. The comparis... View full abstract»

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  • Head/eye calibration of a binocular head by use of single calibration point

    Publication Year: 1994, Page(s):154 - 159
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (448 KB)

    The authors propose a new method for calibrating the head-to-eye relation of a binocular head with very high accuracy. This method consists of a closed-form solution for initial estimation and an iteration procedure for accuracy refinement. The closed-form solution is already quite accurate (more accurate than the existing method) when the number of calibration input data is large enough or when t... View full abstract»

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  • Hand written digit recognition using BKS combination of neural network classifiers

    Publication Year: 1994, Page(s):94 - 99
    Cited by:  Papers (3)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (424 KB)

    The problem of recognition of handwritten segmented digits irrespective of their size or stroke width is considered. A new approach of combining several different multi-layer perceptron (MLP) neural network classifiers operating on the same image is developed. The classification decisions made by individual MLPs are combined through a method called “behavior-knowledge space” (BKS). The... View full abstract»

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  • Image-modeling Gibbs distributions for Bayesian restoration

    Publication Year: 1994, Page(s):7 - 12
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (524 KB)

    Gibbs distributions have been widely used in the Bayesian approach to many image processing problems. However, little attention has been paid to whether or not the Gibbs distribution indeed models the images that occur in the particular area of application. Indeed, random samples from many of the proposed Gibbs distributions are likely to be uniformly smooth, and thus atypical for any application ... View full abstract»

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  • An image segmentation technique based on edge-preserving smoothing filter and anisotropic diffusion

    Publication Year: 1994, Page(s):65 - 69
    Cited by:  Papers (1)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (272 KB)

    An efficient and simple segmentation algorithm is presented which is based on a good edge-preserving smoothing filter and a fast anisotropic diffusion technique. A number of examples are shown to demonstrate the capabilities of this algorithm View full abstract»

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  • An invariant traffic sign recognition system based on sequential color processing and geometrical transformation

    Publication Year: 1994, Page(s):88 - 93
    Cited by:  Papers (23)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (392 KB)

    One of the most noteworthy problems associated with conventional pattern recognition methods is that it is not easy to extract feature vectors from images which are not translation, rotation, and scale change invariant in outdoor noisy environments. This paper describes the development of an invariant traffic sign recognition system capable of tolerating the above variations. The signs are restric... View full abstract»

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  • Recognition of 3-D objects on complex backgrounds using model based vision and range images

    Publication Year: 1994, Page(s):148 - 153
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (444 KB)

    One of the active research fields in computer vision is the recognition of complex 3D objects. The task of object recognition is tightly bound to background understanding or suppression. Current literature describes the top down approaches as promising but not complete and the bottom-up approaches as not robust. The paper describes a model based vision system in which a commercial 3D computer grap... View full abstract»

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  • Recognition of flexible objects

    Publication Year: 1994, Page(s):36 - 41
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (404 KB)

    Vision systems typically incorporate object rigidity constraints. Such constraints are meaningful in manufacturing processes, but not in the natural visual world, where elastic objects, jointed objects, a variety of viewing geometry deformations, and variations of structure within an object class are common. This work extends the capabilities of recognition algorithms to the realm of flexible obje... View full abstract»

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  • Analysis of texture images using robust fractal description

    Publication Year: 1994, Page(s):1 - 6
    Cited by:  Papers (1)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (444 KB)

    A maximum likelihood estimation (MLE) method is used to estimate the fractal dimension of a number of natural texture images with and without the presence of noise. An additional texture measure which can be linked to the lacunarity measure is used to characterize natural textures since fractal dimension alone cannot totally characterize texture images. Segmentation of natural textures is successf... View full abstract»

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  • Frequency domain measurement of meteorological range from aircraft images

    Publication Year: 1994, Page(s):59 - 64
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (408 KB)

    Theoretical work has shown that meteorological range, a standard measure of visibility, can be related to changes in contrast in the spatial domain of a scene, and changes in the non-zero frequencies of its frequency response. The present work employs aircraft images of mountain scenes to show that changes in the energy of non-zero frequencies trace a decaying exponential curve whose logarithmic s... View full abstract»

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  • Vergence control using a hierarchical image structure

    Publication Year: 1994, Page(s):118 - 123
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (424 KB)

    This paper presents a fast and reliable vergence control method using a hierarchical image structure for active vision systems. In this method, the sign pyramid is generated from the Laplacian pyramid. The search for the common fixation point and the disparity value of that point is performed by sign-correlation matching and a coarse-to-fine search strategy. This method works well for a very large... View full abstract»

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  • Junction view densities in images

    Publication Year: 1994, Page(s):142 - 147
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (316 KB)

    Line sketch images of real objects in a scene may contain junctions that represent corners of objects. The work reported in the paper shows how measures of the angles at a junction provide information concerning the structure of physical corners. The authors concentrate on the corners of a cube and derive the probability view densities of the corner angles under isotropic positioning of the viewpo... View full abstract»

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  • Image classification in remote sensing using functional link neural networks

    Publication Year: 1994, Page(s):54 - 58
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (276 KB)

    A new objective function for functional link net classifier design is presented, which has more free parameters than the classical objective function. An iterative minimization technique for the objective function is described which requires the solution of multiple sets of numerically ill conditioned linear equations. A numerically stable solution to the functional link neural network design equa... View full abstract»

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  • Subpixel edge estimation using geometrical edge models with noise miniaturization

    Publication Year: 1994, Page(s):112 - 117
    Cited by:  Papers (1)  |  Patents (17)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (408 KB)

    The significant disadvantage for traditional contour representation is as the resolution is reduced the effort of undersampling is proportional enlarged. The goal of this study is to improve edge detection results, especially for those corner points in low resolution. This study describes a method, which is based on 4-connected pixel-wise linearization, for finding contours from low resolution vid... View full abstract»

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  • An algorithm for 3D scene description in an unknown environment

    Publication Year: 1994, Page(s):136 - 141
    Cited by:  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (404 KB)

    Scene description plays a major role in the interpretation of images. In the paper a novel data- and rule-driven system for 3D segmentation and scene description in an unknown environment is presented. This system generates hierarchies of features that correspond to structural elements such as boundaries and shape classes of individual objects as well as relationships between objects. It is implem... View full abstract»

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