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Subject Syllabus

AD-701 - AI for Computer Vision

AIDS · Semester 7

Course Modules

Learn topic-wise with Hyper AI and revise using mapped PYQs.

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.

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

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.

Shape from X, Active range finding Surface representations Point-based representations Volumetric representations Model-based reconstruction Recovering texture maps and albedos.

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.