edited by P Johansen (Univ. Copenhagen) & S Olsen (Univ. Copenhagen)

This book contains 31 papers carefully selected from among those presented at the 7th Scandinavian Conference on Image Analysis. The authors have extended their papers to give a more in-depth discussion of the theory, or of the experimental validation of the method they have proposed. The topics covered are current and wide-ranging and include both 2D- and 3D-vision, and low to high level vision.

• Theory:
  • Human Image Understanding (I Biederman)
  • Local Image Structure (J J Koenderink)
  • An Algebraic/Analytic Method for Reconstruction from Image Correspondences (G Sparr)
• Computational Aspects:
  • Efficient Matching of Dynamically Changing Graphs (H Bunke et al.)
  • Using a Genetic Algorithm to Solve Constraint Satisfaction Problems Generated by An Image Interpreter (S Truvé)
  • Estimation of Velocity and Acceleration in Time Sequences (L Haglund et al.)
• Applications:
  • Towards Continuously Operating Integrated Vision Systems for Robotics Applications (J L Crowley)
  • Real Time 3D-Road Modeling for Autonomous Vehicle Guidance (U Franke)
  • Studies on Classification of LANDSAT Image Data Using a Neural Network Approach (S Kamata et al.)
  • Texture Discrimination of Normal and Malignant Mouse Liver Cell Nuclei (F Albregtsen et al.)
  • and other papers