'Moving camera' presentation slideshows

Expectation-Maximization (EM) Case Studies

Expectation-Maximization (EM) Case Studies. CS479/679 Pattern Recognition Dr. George Bebis. Case Study 1: Object Tracking. S. McKenna, Y. Raja, and S. Gong, "Tracking color objects using adaptive mixture models", Image and Vision Computing , vol. 17, pp. 225-231, 1999. Problem.

469 views • 46 slides

Video Production

401 views • 28 slides

Video Production

531 views • 21 slides

Video Production

243 views • 21 slides

Structure-from-EgoMotion (based on notes from David Jacobs, CS-Maryland)

Structure-from-EgoMotion (based on notes from David Jacobs, CS-Maryland). Determining the 3-D structure of the world, and/or the motion of a camera using a sequence of images taken by a moving camera. Equivalently, we can think of the world as moving and the camera as fixed.

195 views • 19 slides

Structure-from-EgoMotion (based on notes from David Jacobs, CS-Maryland)

Structure-from-EgoMotion (based on notes from David Jacobs, CS-Maryland). Determining the 3-D structure of the world, and/or the motion of a camera using a sequence of images taken by a moving camera. Equivalently, we can think of the world as moving and the camera as fixed.

197 views • 19 slides

Structure from Motion

Structure from Motion. A moving camera/computer computes the 3D structure of the scene and its own motion. Sensing 3D scene structure via a moving camera. We now have two views over time/space compared to stereo which has multiple views at the same time. Assumptions for now.

328 views • 12 slides

Film as Literature

89 views • 6 slides