'Schneiderman kanade' presentation slideshows

Slides from Lana Lazebnik, James Hays, Fei-Fei Li, Rob Fergus, Antonio Torralba, and Jean Ponce

CSCE 641: Computer Vision An overview of recognition techniques. Slides from Lana Lazebnik, James Hays, Fei-Fei Li, Rob Fergus, Antonio Torralba, and Jean Ponce. How many visual object categories are there?. ~10,000 to 30,000. Biederman 1987. ~10,000 to 30,000. OBJECTS. INANIMATE. ANIMALS.

525 views • 51 slides

CVPR 2007 Minneapolis, Short Course, June 17

CVPR 2007 Minneapolis, Short Course, June 17. Recognizing and Learning Object Categories: Year 2007. Li Fei-Fei, Princeton Rob Fergus, MIT Antonio Torralba, MIT. Agenda. Introduction Bag-of-words models Part-based models Discriminative methods Segmentation and recognition

486 views • 47 slides

Object Recognition: History and Overview

440 views • 43 slides

Presenter: Derek Hoiem CS 598, Spring 2009 Feb 24, 2009

Statistical Template-Based Object Detection A Statistical Method for 3D Object Detection Applied to Faces and Cars Henry Schneiderman and Takeo Kanade Rapid Object Detection using a Boosted Cascade of Simple Features Paul Viola and Michael Jones. Presenter: Derek Hoiem CS 598, Spring 2009

516 views • 39 slides

Presenter: Derek Hoiem CS 598, Spring 2009 Feb 24, 2009

Statistical Template-Based Object Detection A Statistical Method for 3D Object Detection Applied to Faces and Cars Henry Schneiderman and Takeo Kanade Rapid Object Detection using a Boosted Cascade of Simple Features Paul Viola and Michael Jones. Presenter: Derek Hoiem CS 598, Spring 2009

407 views • 39 slides

Andrew Gallagher

Schneiderman, H. and Kanade, T. Object Detection Using the Statistics of Parts , Viola, P. and Jones Robust Real-time Object Detection ,. Andrew Gallagher. Dataset. 16 images. 8 from my databases, and 8 from Flickr. Large ethnic, gender and age variety.

100 views • 9 slides