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IEEE Transactions on Pattern Analysis and Machine Intelligence

Issue 5 • Date May 1991

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Displaying Results 1 - 9 of 9
  • Unsupervised texture segmentation using Markov random field models

    Publication Year: 1991, Page(s):478 - 482
    Cited by:  Papers (125)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (876 KB)

    The problem of unsupervised segmentation of textured images is considered. The only explicit assumption made is that the intensity data can be modeled by a Gauss Markov random field (GMRF). The image is divided into a number of nonoverlapping regions and the GMRF parameters are computed from each of these regions. A simple clustering method is used to merge these regions. The parameters of the mod... View full abstract»

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  • Image filtering using multiresolution representations

    Publication Year: 1991, Page(s):426 - 440
    Cited by:  Papers (17)  |  Patents (18)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1284 KB)

    It is shown how multiresolution representations can be used for filter design and implementation. These representations provide a coarse frequency decomposition of the image, which forms the basis for two filtering techniques. The first method, based on image pyramids, is used for approximating the convolution of an image with a given mask. In this technique, a filter is designed using a least-squ... View full abstract»

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  • Fitting parameterized three-dimensional models to images

    Publication Year: 1991, Page(s):441 - 450
    Cited by:  Papers (268)  |  Patents (39)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (972 KB)

    Model-based recognition and motion tracking depend upon the ability to solve for projection and model parameters that will best fit a 3-D model to matching 2-D image features. The author extends current methods of parameter solving to handle objects with arbitrary curved surfaces and with any number of internal parameters representing articulation, variable dimensions, or surface deformations. Num... View full abstract»

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  • Single-agent parallel window search

    Publication Year: 1991, Page(s):466 - 477
    Cited by:  Papers (5)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1188 KB)

    Parallel window search is applied to single-agent problems by having different processes simultaneously perform iteration of Iterative-Deepening-A* (IDA*) on the same problem but with different cost thresholds. This approach is limited by the time to perform the goal iteration. To overcome this disadvantage, the authors consider node ordering. They discuss how global node ordering by minimum h... View full abstract»

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  • Optimal edge detectors for ramp edges

    Publication Year: 1991, Page(s):483 - 491
    Cited by:  Papers (62)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (840 KB)

    It is argued that the best way to model an edge is by assuming all ideal mathematical function passed through a low-pass filter and and immersed in noise. Using techniques similar to those developed by J. Canny (1983, 1986) and L.A. Spacek (1986), optimal filters are derived for ramp edges of various slopes. The optimal nonrecursive filter for ideal step edges is then derived as a limiting case of... View full abstract»

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  • Image restoration using Gibbs priors: boundary modeling, treatment of blurring, and selection of hyperparameter

    Publication Year: 1991, Page(s):413 - 425
    Cited by:  Papers (43)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1324 KB)

    The authors propose a Bayesian model for the restoration of images based on counts of emitted photons. The model treats blurring within the context of an incomplete data problem and utilizes a Gibbs prior to model the spatial correlation of neighboring regions. The Gibbs prior includes line sites to account for boundaries between regions, and the line sites are assigned continuous values to permit... View full abstract»

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  • The Warp machine on Navlab

    Publication Year: 1991, Page(s):451 - 465
    Cited by:  Papers (17)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1516 KB)

    The authors review the history of the Carnegie-Mellon Warp machine on Navlab, an autonomous land vehicle, and describe three Navlab vision systems implemented on the Warp machine. They then critically evaluate components of Warp in light of this experience. The Warp machine was used to implement stereo vision for obstacle avoidance and color-based road-following systems. The stereo-vision system w... View full abstract»

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  • Parallel and deterministic algorithms from MRFs: surface reconstruction

    Publication Year: 1991, Page(s):401 - 412
    Cited by:  Papers (169)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1152 KB)

    Deterministic approximations to Markov random field (MRF) models are derived. One of the models is shown to give in a natural way the graduated nonconvexity (GNC) algorithm proposed by A. Blake and A. Zisserman (1987). This model can be applied to smooth a field preserving its discontinuities. A class of more complex models is then proposed in order to deal with a variety of vision problems. All t... View full abstract»

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  • Positioning quadric surfaces in all active stereo imaging system

    Publication Year: 1991, Page(s):491 - 495
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (396 KB)

    The location of surfaces using stereo imaging techniques is an important area of research for robot guidance and machine inspection applications, The underlying geometry of finite focal length stereo pinhole cameras is investigated. This is the model used in both active and passive stereo imaging systems. It is shown that the points of intersecting views from the pinhole models result in conic sec... 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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Editor-in-Chief
David A. Forsyth
University of Illinois
e-mail: daf@illinois.edu