Slide 1C280, Computer Vision Prof. Trevor Darrell [email protected] Lecture 2: Image Formation Slide 2 Administrivia We’re now in 405 Soda… New office hours: Thurs.…

Slide 1CSE 473/573 Computer Vision and Image Processing (CVIP) Ifeoma Nwogu [email protected] Lecture 5 – Image formation (photometry) Slide 2 Schedule Last class –…

Slide 1Lecture 2: Convolution and edge detection CS4670: Computer Vision Noah Snavely From Sandlot ScienceSandlot Science Slide 2 Gaussian Kernel Source: C. Rasmussen Slide…

Slide 1 Ted Adelson’s checkerboard illusion Slide 2 Motion illusion, rotating snakes Slide 3 Slides from Alexei Efros, Fei Fei Li, Steve Marschner, and others Sampling…

Slide 1 Algorithms and Applications in Computer Vision Lihi Zelnik-Manor [email protected] Slide 2 Let’s get started: Image formation How are objects in the world…

Slide 1Stereo CSE 576 Ali Farhadi Several slides from Larry Zitnick and Steve Seitz Slide 2 Slide 3 Why do we perceive depth? Slide 4 What do humans use as depth cues? Convergence…

Slide 1Edge detection Goal: Identify sudden changes (discontinuities) in an image Intuitively, most semantic and shape information from the image can be encoded in the edges…

Slide 1Recap from Wednesday Two strategies for realistic rendering capture real world data synthesize from bottom up Have existed for 500 years. Both are successful. Attempts…

Slide 1 http://www.ics.uci.edu/~dramanan/teaching/cs116_fall08/index.html Check web page often T,R 12:30-1:50pm PSCB (Phy Sci Class Blg) 140 Course intro handout Computational…

Slide 1 Structure from motion Slide 2 Given a set of corresponding points in two or more images, compute the camera parameters and the 3D point coordinates Camera 1 Camera…