2015-05-13 CV_appendix
C280, Computer Vision Prof. Trevor Darrell [email protected] Lecture 2: Image Formation.
3D Computer Vision and Video Computing 3D Vision Lecture 3 - Part 1 Camera Models CS80000 Section 2 Spring 2005 Professor Zhigang Zhu, Rm 4439 zhu/GC-Spring2005/CSc80000-2-VisionCourse.html.
Structure from motion Digital Visual Effects, Spring 2005 Yung-Yu Chuang 2005/4/20 with slides by Richard Szeliski, Steve Seitz, Zhengyou Zhang and Marc.
Intrinsic and Extrinsic Parameters of Foods That Affect Microbial Growth.
Automatic scene inference for 3D object compositing Kevin Karsch (UIUC), Sunkavalli, K. Hadap, S.; Carr, N.; Jin, H.; Fonte, R.; Sittig, M., David Forsyth.
University of California, Santa Barbara An Integrated System of 3D Motion Tracker and Spatialized Sound Synthesizer John Thompson (Music) Mary Li (ECE)
Intelligent Systems Lab. Extrinsic Self Calibration of a Camera and a 3D Laser Range Finder from Natural Scenes Davide Scaramuzza, Ahad Harati, and Roland.
Relations between image coordinates Given coordinates in one image, and the tranformation Between cameras, T = [R t], what are the image coordinates In.
Computer Vision Projective structure from motion Marc Pollefeys COMP 256 Some slides and illustrations from J. Ponce, …
Robot\Machine Vision Cherevatsky Boris. What is a Computer vision ? Automatic understanding of images and videos by a computer (which could be plugged.
Vision, Video and Virtual Reality 3D Vision Lecture 12 Camera Models CSC 59866CD Fall 2004 Zhigang Zhu, NAC 8/203A zhu