AD-701 RGPV B.Tech
AI for Computer Vision (ACV)
Previous year papers and the official syllabus are free to read, no account needed.
Previous Year Papers
1 paper, latest Dec 2024
Syllabus, notes and important questions for AD-701
Syllabus units
Topics as the official RGPV syllabus lists them.
Unit 1 Introduction to Image Formation and Processing 11 topics
- Computer Vision
- Geometric primitives and transformations
- Photometric image formation
- digital camera
- Point operators
- Linear filtering
- More neighborhood operators
- Fourier transforms
- Pyramids and wavelets
- Geometric transformations
- Global optimization
Unit 2 Feature Detection, Matching and Segmentation 9 topics
- Points and patches
- Edges
- Lines
- Segmentation
- Active contours
- Split and merge
- Mean shift and mode finding
- Normalized cuts
- Graph cuts and energy-based methods
Unit 3 Feature-based Alignment & Motion Estimation 13 topics
- 2D and 3D feature-based alignment
- Pose estimation
- Geometric intrinsic calibration
- Triangulation
- Two-frame structure from motion
- Factorization
- Bundle adjustment
- Constrained structure and motion
- Translational alignment
- Parametric motion
- Spline-based motion
- Optical flow
- Layered motion
Unit 4 3D Reconstruction 7 topics
- Shape from X
- Active range finding
- Surface representations
- Point-based representations
- Volumetric representations
- Model-based reconstruction
- Recovering texture maps and albedos
Unit 5 Image-based Rendering and Recognition 11 topics
- View interpolation
- Layered depth images
- Light fields and Lumigraphs
- Environment mattes
- Video-based rendering
- Object detection
- Face recognition
- Instance recognition
- Category recognition
- Context and scene understanding
- Recognition databases and test sets