Recognition - Introduction to Computer Version - Lecture Sli, Lecture notes of Computer Science

These are the Lecture Slides of Introduction to Computer Version which includes Machine Learning, Framework, Prediction Function, Feature Representation, Image, Desired Output, Prediction Function, Prediction Error, Predicted Value etc. Key important points are: Recognition, Overview, History, Visual Object Categories, Objects, Animals, Plants, Inanimate, Natural, Camera

Typology: Lecture notes

2012/2013

Uploaded on 03/23/2013

dhruv
dhruv 🇮🇳

4.3

(12)

194 documents

1 / 51

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
Recognition: Overview and History
Docsity.com
pf3
pf4
pf5
pf8
pf9
pfa
pfd
pfe
pff
pf12
pf13
pf14
pf15
pf16
pf17
pf18
pf19
pf1a
pf1b
pf1c
pf1d
pf1e
pf1f
pf20
pf21
pf22
pf23
pf24
pf25
pf26
pf27
pf28
pf29
pf2a
pf2b
pf2c
pf2d
pf2e
pf2f
pf30
pf31
pf32
pf33

Partial preview of the text

Download Recognition - Introduction to Computer Version - Lecture Sli and more Lecture notes Computer Science in PDF only on Docsity!

Recognition: Overview and History

Docsity.com

How many visual object categories are there?

Biederman 1987Docsity.com

OBJECTS

ANIMALS PLANTS INANIMATE NATURAL MAN-MADE ….. VERTEBRATE MAMMALS BIRDS TAPIR BOAR GROUSE CAMERA Docsity.com

Specific recognition tasks Svetlana LazebnikDocsity.com

Image annotation / tagging / attributes

  • street
  • people
  • building
  • mountain
  • tourism
  • cloudy
  • brick
  • Svetlana LazebnikDocsity.com

Object detection

  • find pedestrians Svetlana LazebnikDocsity.com

Scene understanding? Svetlana LazebnikDocsity.com

Variability: (^) Camera position Illumination Shape parameters Within-class variations?

Recognition is all about modeling variability

Svetlana LazebnikDocsity.com

History of ideas in recognition

  • 1960s – early 1990s: the geometric era Svetlana LazebnikDocsity.com

Variability: Camera position Illumination Alignment Roberts (1965); Lowe (1987); Faugeras & Hebert (1986); Grimson & Lozano-Perez (1986); Huttenlocher & Ullman (1987) Shape: assumed known Svetlana LazebnikDocsity.com

Recognition as an alignment problem: Block world J. Mundy, Object Recognition in the Geometric Era: a Retrospective, 2006 L. G. Roberts, Machine Perception of Three Dimensional Solids, Ph.D. thesis, MIT Department of Electrical Engineering,

Docsity.com

Alignment: Huttenlocher & Ullman (1987) Docsity.com

Recognition by components

Primitives (geons) Objects http://en.wikipedia.org/wiki/Recognition_by_Components_Theory Biederman (1987) Svetlana LazebnikDocsity.com

Zisserman et al. (1995) Generalized cylinders Ponce et al. (1989) Forsyth (2000)

General shape primitives?

Svetlana LazebnikDocsity.com