Computer Vision

Description:

For upper level courses in Computer Vision and Image Analysis.

Provides necessary theory and examples for students and practitioners who will work in fields where significant information must be extracted automatically from images. Appropriate for those interested in multimedia, art and design, geographic information systems, and image databases, in addition to the traditional areas of automation, image science, medical imaging, remote sensing and computer cartography. The text provides a basic set of fundamental concepts and algorithms for analyzing images, and discusses some of the exciting evolving application areas of computer vision.

Table of Contents:

 1. Introduction. 

 2. Imaging and Image Representation. 

 3. Binary Image Analysis. 

 4. Pattern Recognition Concepts. 

 5. Filtering and Enhancing Images. 

 6. Color and Shading. 

 7. Texture. 

 8. Content-Based Image Retrieval. 

 9. Motion from 2D Image Sequences.

10. Image Segmentation.

11. Matching in 2D.

12. Perceiving 3D from 2D Images.

13. 3D Sensing and Object Pose Computation.

14. 3D Models and Matching.

15. Virtual Reality.

16. Case Studies.