CCS 338 Computer Vision question papers

Question papers

• April/May 2024

  Question paper code 50421

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Syllabus

1. Unit 1: Introduction to Image Formation and Processing6 hours

   Computer Vision · Geometric primitives and transformations · Photometric image formation · The digital camera · Point operators · Linear filtering · More neighborhood operators · Fourier transforms · Pyramids and wavelets · Geometric transformations · Global optimization

2. Unit 2: Feature Detection, Matching and Segmentation6 hours

   Points and patches · Edges · Lines · Segmentation · Active contours · Split and merge · Mean shift and mode finding · Normalized cuts · Graph cuts and energy-based methods

3. Unit 3: Feature-Based Alignment & Motion Estimation6 hours

   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

4. Unit 4: 3D Reconstruction6 hours

   Shape from X · Active rangefinding · Surface representations · Point-based representations · Volumetric representations · Model-based reconstruction · Recovering texture maps and albedosos

5. Unit 5: Image-Based Rendering and Recognition6 hours

   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