1.1 KiB
1.1 KiB
Object recognition
Different types of recognition
- object identification
- object classification
Which level is right for Object Classes?
- Basic-Level Categories
Challenges
- multi-view: different view points
- multi-class: different types of the same object (different car models)
- varying illumination
- ecc
Filtering basics
- Linear filtering
- Gaussian filtering
- Multi scale image representation
- gaussian pyramid
- edge detection
- recognition using line drawings
- image derivatives (1st and 2nd order)
- object instance identification using color histograms
- performing evaluation
probabilità dadi
Px(5) = 1/6
Py(5) = 1/6
Px+y(5) = ?
We can count the possible cases
total cases: 6*6=36
| 6 | 7 | 8 | 9 | 10 | 11 | 12 |
|---|---|---|---|---|---|---|
| 5 | 6 | 7 | 8 | 9 | 10 | 11 |
| 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| 3 | 4 | 5 | 6 | 7 | 8 | 9 |
| 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 |
| 1 | 2 | 3 | 4 | 5 | 6 |
possible cases: P(3)P(1)+P(2)P(2)+P(1)P(3)
P[x*y](S) =