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IEEE Transactions on Pattern Analysis and Machine Intelligence

Issue 2 • March 1983

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Displaying Results 1 - 23 of 23
  • [Front cover]

    Publication Year: 1983, Page(s): c1
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  • List of Contributors

    Publication Year: 1983, Page(s): nil1
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  • [Breaker page]

    Publication Year: 1983
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  • Opinion

    Publication Year: 1983, Page(s): 121
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  • A Perspective on Range Finding Techniques for Computer Vision

    Publication Year: 1983, Page(s):122 - 139
    Cited by:  Papers (435)  |  Patents (23)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (5449 KB)

    In recent times a great deal of interest has been shown, amongst the computer vision and robotics research community, in the acquisition of range data for supporting scene analysis leading to remote (noncontact) determination of configurations and space filling extents of three-dimensional object assemblages. This paper surveys a variety of approaches to generalized range finding and presents a pe... View full abstract»

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  • Model-Based Three-Dimensional Interpretations of Two-Dimensional Images

    Publication Year: 1983, Page(s):140 - 150
    Cited by:  Papers (200)  |  Patents (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4765 KB)

    ACRONYM is a comprehensive domain independent model-based system for vision and manipulation related tasks. Many of its submodules and representations have been described elsewhere. Here the derivation and use of invariants for image feature prediction is described. Predictions of image features and their relations are made from three-dimensional geometric models. Instructions are generated which ... View full abstract»

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  • Volumetric Descriptions of Objects from Multiple Views

    Publication Year: 1983, Page(s):150 - 158
    Cited by:  Papers (214)  |  Patents (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3339 KB)

    Occluding contours from an image sequence with view-point specifications determine a bounding volume approximating the object generating the contours. The initial creation and continual refinement of the approximation requires a volumetric representation that facilitates modification yet is descriptive of surface detail. The ``volume segment'' representation presented in this paper is one such rep... View full abstract»

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  • Multiframe Image Point Matching and 3-D Surface Reconstruction

    Publication Year: 1983, Page(s):159 - 174
    Cited by:  Papers (26)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4254 KB)

    This paper presents two new methods, the Joint Moment Method (JMM) and the Window Variance Method (WVM), for image matching and 3-D object surface reconstruction using multiple perspective views. The viewing positions and orientations for these perspective views are known a priori, as is usually the case for such applications as robotics and industrial vision as well as close range photogrammetry.... View full abstract»

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  • Detection of Edges Using Range Information

    Publication Year: 1983, Page(s):174 - 178
    Cited by:  Papers (34)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1059 KB)

    Range data provide an important source of 3-D shape information. This information can be used to extract jump boundaries which correspond to occluding boundaries of objects in a scene and ``edges'' which correspond to points lying between significantly different regions on the surface of objects. We are mainly interested in range data obtained from sensors such as lasers. The main problem with thi... View full abstract»

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  • A Maximum Likelihood Approach to Continuous Speech Recognition

    Publication Year: 1983, Page(s):179 - 190
    Cited by:  Papers (473)  |  Patents (148)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3222 KB)

    Speech recognition is formulated as a problem of maximum likelihood decoding. This formulation requires statistical models of the speech production process. In this paper, we describe a number of statistical models for use in speech recognition. We give special attention to determining the parameters for such models from sparse data. We also describe two decoding methods, one appropriate for const... View full abstract»

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  • A New Implementation of the Mellin Transform and its Application to Radar Classification of Ships

    Publication Year: 1983, Page(s):191 - 199
    Cited by:  Papers (64)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2259 KB)

    A modified Mellin transform for digital implementation is developed and applied to range radar profiles of naval vessels. The scale invariance property of the Mellin transform provides a means for extracting features from the profiles which are insensitive to the aspect angle of the radar. Past implementations of the Mellin transform based on the FFT have required exponential sampling, interpolati... View full abstract»

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  • Candide's Practical Principles of Experimental Pattern Recognition

    Publication Year: 1983, Page(s):199 - 205
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2088 KB)

    This correspondence calls attention to several frequently used assumptions and techniques culled from the pattern recognition literature. View full abstract»

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  • Bounds on (Deterministic) Correlation Functions with Application to Registration

    Publication Year: 1983, Page(s):206 - 213
    Cited by:  Papers (39)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1144 KB)

    The auto/cross correlation of L2 functions are constrained by certain bounds which may often be used to advantage. These bounds apply to all the common cross correlation functions used for registration purposes (called ``deterministic'' correlation functions in this paper, as opposed to stochastic correlation based on non-L2 functions). It is shown that the envelopes of deterministic autocorrelati... View full abstract»

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  • Solving Problems in Robotics with Semantic Networks

    Publication Year: 1983, Page(s):213 - 217
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1682 KB)

    Robot problems are examined in the context of semantic networks which are used to represent the state of a problem and the operators useful for solving it. Graph transformation algorithms are discussed as an aid to problem solving. Although these form only a small subset of the first-order predicate calculus based systems, considerations such as subgoal circularity, partially specified states and ... View full abstract»

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  • An Intelligent Tactile Sensor-An On-Line Hierarchical Object and Seam Analyzer

    Publication Year: 1983, Page(s):217 - 220
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2693 KB)

    This paper describes an on-line computer supported tactile sensor that can recognize complex industrial objects, identify a seam location, and track a three-dimensional seam trajectory for an arc welding robot. A one finger tactile sensor with two degrees of freedom is used. The supporting microcomputer system organizes and reduces the useful sensor data from digitized tactile information to a com... View full abstract»

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  • On the Stability of Shared Near Neighbor Clustering

    Publication Year: 1983, Page(s):220 - 224
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1056 KB)

    This correspondence concentrates on the detection of stable clustering results when using the nonparmetric clustering technique of Jarvis and Patrick. This technique incorporates the concept of similarity based on sharing of near neighbors. Essentially, in this clustering scheme, two parameters are involved: neighborhood depth and similarity threshold. Combining a penalty for chaining with the det... View full abstract»

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  • Evaluating Multimembership Classifiers: A Methodology and Application to the MEDAS Diagnostic System

    Publication Year: 1983, Page(s):225 - 229
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (923 KB)

    Performance evaluation measures for multimembership classifiers are presented and applied in a retrospective study on the diagnostic performance of the MEDAS (Medical Emergency Decision Assistance System) system. Admission and discharge diagnoses for 122 patients with one or more of 26 distinct disorders in five major disorder categories were gathered. The average number of disorders per patient w... View full abstract»

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  • Application of k-Nearest-Neighbor Decision Rule in Vowel Recognition

    Publication Year: 1983, Page(s):229 - 231
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (712 KB)

    The k-nearest-neighbor decision rule is known to provide a useful nonparametric procedure for pattern classification. This rule is applied here to a vowel recognition problem and the effect of the number (k) of nearest neighbors, the size of the trained set and the type of the distance measure on vowel recognition performance is studied. It is shown that the vowel recognition performance remains a... View full abstract»

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  • Three-Dimensional Digital Line Segments

    Publication Year: 1983, Page(s):231 - 234
    Cited by:  Papers (25)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (902 KB)

    Digital arcs in 3-D digital pictures are defined. The digital image of an arc is also defined. A digital arc is defined to be a digital line segment if it is the digital image of a line segment. It is shown that a digital line segment may be characterized by the chord property holding for its projections onto the coordinate planes. It is also shown that a digital line segment may not be characteri... View full abstract»

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  • Call for Papers

    Publication Year: 1983, Page(s): 235
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  • Future Events

    Publication Year: 1983, Page(s): 236
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  • List of Contributors

    Publication Year: 1983, Page(s): nil2
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  • [Front cover]

    Publication Year: 1983, Page(s): c2
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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.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Sven Dickinson
University of Toronto
e-mail: sven@cs.toronto.edu