Department of Computer Science and Engineering
(Artificial Intelligence and Machine Learning)
Computer Vision & Image Processing- AM622T3A
Question Bank
Module 1
1. Discuss Computer Vision Vs Image Processing
2. Real World Applications of Computer Vision
3. Explain Geometric primitives in 2D and 3D
4. Explain Geometric and transformations in 2D and 3D
5. Explain 3D to 2D projections with a neat diagram.
6. Discuss lens Distortion with relevant example
7. Explain Photometric image formation with relevant diagrams.
8. Explain The Bidirectional Reflectance Distribution Function (BRDF)
9. Discuss basic lens models with examples.
10. Write short note on Regular and zoom lens depth of field indicators
11. Explain Image sensing pipeline block diagram.
12. Explain the digital image sensors with neat diagram
13. Define Sampling and explain sampling with neat diagram
14. Explain Aliasing of a one-dimensional signal:
15. DIscuss Sample point spread functions (PSF) with relevant diagrams.
16. Write a short note on the following
a. Diffuse reflection
b. Specular reflection
c. Phong shading
d. Di-chromatic reflection model
e. Global illumination (ray tracing and radiosity)
