Optimization Techniques in Computer Vision

Part I. Part I

1. Ill-Posed Problems in Imaging and Computer Vision
Mongi A. Abidi, Andrei V. Gribok, Joonki Paik

2. Selection of the Regularization Parameter
Mongi A. Abidi, Andrei V. Gribok, Joonki Paik

Part II. Part II

3. Introduction to Optimization
Mongi A. Abidi, Andrei V. Gribok, Joonki Paik

4. Unconstrained Optimization
Mongi A. Abidi, Andrei V. Gribok, Joonki Paik

5. Constrained Optimization
Mongi A. Abidi, Andrei V. Gribok, Joonki Paik

Part III. Part III

6. Frequency-Domain Implementation of Regularization
Mongi A. Abidi, Andrei V. Gribok, Joonki Paik

7. Iterative Methods
Mongi A. Abidi, Andrei V. Gribok, Joonki Paik

8. Regularized Image Interpolation Based on Data Fusion
Mongi A. Abidi, Andrei V. Gribok, Joonki Paik

Part IV. Part IV

9. Enhancement of Compressed Video
Mongi A. Abidi, Andrei V. Gribok, Joonki Paik

10. Volumetric Description of Three-Dimensional Objects for Object Recognition
Mongi A. Abidi, Andrei V. Gribok, Joonki Paik

11. Regularized 3D Image Smoothing
Mongi A. Abidi, Andrei V. Gribok, Joonki Paik

12. Multimodal Scene Reconstruction Using Genetic Algorithm-Based Optimization
Mongi A. Abidi, Andrei V. Gribok, Joonki Paik

Avainsanat: Computer Science, Image Processing and Computer Vision, Signal, Image and Speech Processing, Algorithm Analysis and Problem Complexity, Mathematical Applications in Computer Science