3-D Shape Estimation and Image Restoration

1. Introduction

2. Basic models of image formation

3. Some analysis: When can 3-D shape be reconstructed from blurred images?

4. Least-squares shape from defocus

5. Enforcing positivity: Shape from defocus and image restoration by minimizing I-divergence

6. Defocus via diffusion: Modeling and reconstruction

7. Dealing with motion: Unifying defocus and motion blur

8. Dealing with multiple moving objects

9. Dealing with occlusions

10. Final remarks

DRM-restrictions

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Nyckelord: COMPUTERS / Computer Science COM014000