IT432
Course Name:
Computational Photography (IT432)
Programme:
B.Tech (AI)
Category:
Programme Specific Electives (PSE)
Credits (L-T-P):
(3-0-2) 4
Content:
Camera geometry and optics, Focus and depth, Computational apertures and shutters, Exposure and high dynamic range, Flash / no flash photography, Super-resolution and denoising. Photo quality assessment, Image filtering and image pyramids, Image blending and compositing Texture synthesis and inpting, non photorealistic rendering Single / multi view reconstruction, Image based lighting and rendering
References:
Barbara London and John Upton, “Photography".
Richard Szeliski,"Computer Vision: Algorithms and Applications".
Richard Hartley and Andrew Zisserman, "Multiple View Geometry in Computer Vision".
David Forsyth and Jean Ponce, "Computer Vision: A Modern Approach".
Steven Gortler, "Foundations of 3D Computer Graphics".
Rafael Gonzalez and Richard Woods, "Digital Image Processing".
Department:
Information Technology