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Association for the Advancement of Artificial Intelligence

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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 1 /

Vision

Early Vision Processing

  • Mapping Image Properties into Shape Constraints: Skewed Symmetry and Affine-Transformable Patterns, and the Shape-from-Texture Paradigm

    John R. Kender, Takeo Kanade

    45022

    PDF
  • What Should be Computed In Low Level Vision Systems

    William B. Thompson, Albert Yonas

    45117

    PDF
  • Interpreting Line Drawings as Three-Dimensional Surfaces

    Harry G. Barrow, Jay M. Tenenbaum

    45244

    PDF
  • Shape Encoding and Subjective Contours

    Mike Brady, W. E. L. Grimson, D. J. Langridge

    15-17

    PDF
  • A Statistical Technique for Recovering Surface Orientation from Texture in Natural Imagery

    Andrew P. Witkin

    44929

    PDF

Scene Analysis

  • Information Needed to Label a Scene

    Eugene C. Freuder

    18-20

    PDF
  • Interpretive Vision and Restriction Graphs

    Rodney A. Brooks, Thomas O. Binford

    21-27

    PDF
  • Sticks, Plates, and Blobs: A Three-Dimensional Object Representation for Scene Analysis

    Linda G. Shapiro, John D. Moriarty, Prasanna G. Mulgaonkar, Robert M. Haralick

    28-30

    PDF

Motion Analysis

  • Constraint-Based Inference from Image Motion

    Daryl T. Lawton

    31-34

    PDF
  • Static Analysis of Moving Jointed Objects

    Jon A. Webb

    35-37

    PDF
  • Bootstrap Stereo

    Marsha J. Hannah

    38-40

    PDF

Robotic Vision

  • Locating Partially Visible Objects: The Local Feature Focus Method

    Robert C. Bolles

    41-43

    PDF
  • Interference Detection and Collision Avoidance Among Three Dimensional Objects

    N. Ahuja, R. T. Chien, R. Yen, N. Bridwell

    44-48

    PDF
  • Automated Inspection Using Gray-Scale Statistics

    Stephen T. Barnard

    49-52

    PDF
  • Human Movement Understanding: A Variety of Perspectives

    Norman I. Badler, Joseph O'Rourke, Stephen Platt, Mary A. Morris

    53-55

    PDF
  • An Optimization Approach for Using Contextual Information In Computer Vision

    Olivier D. Faugeras

    56-60

    PDF

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