Visual Perception Through Video Imagery

Visual Perception Through Video Imagery

By: Michel Dhome (editor)Hardback

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Description

For several decades researchers have tried to construct perception systems based on the registration data from video cameras. This work has produced various tools that have made recent advances possible in this area. Part 1 of this book deals with the problem of the calibration and auto-calibration of video captures. Part 2 is essentially concerned with the estimation of the relative object/capture position when a priori information is introduced (the CAD model of the object). Finally, Part 3 discusses the inference of density information and the shape recognition in images.

About Author

Michel Dhome , is Research Director at the CNRS and is a Professor at the University of Clermont-Ferrand, France.

Contents

Part I. Registration and auto-registration. Chapter 1. Calibration of Vision Sensors (Jean-Marc Lavest and Gerard Rives). Chapter 2. Self-Calibration of Video Sensors (Rachid Deriche). Chapter 3. Specific Displacements for Self-calibration (Diane Lingrand, Francois Gaspard and Thierry Vieville). Part II. Localization. Chapter 4. Localization Tools (Michel Dhome and Jean-Thierry Lapreste). Part III. Reconstruction. Chapter 5. Reconstruction of 3D Scenes of Multiple Views (Long Quan, Luce Morin and Lionel Oisel). Chapter 6. 3D Reconstruction by Active Dynamic Vision (Eric Marchand and Francois Chaumette). Part IV. Recognition. Chapter 7. Pattern Recognition in Images (Patrick Gros and Cordelia Schmid). Chapter 8. Recognition of Object Densities (Frederic Jurie).

Product Details

  • ISBN13: 9781848210165
  • Format: Hardback
  • Number Of Pages: 308
  • ID: 9781848210165
  • weight: 594
  • ISBN10: 1848210167

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