Object categories
individualobjects
`visual’ categories
`functional’categories*
Importance of `mutual position’
Presence / Absence of Features
occlusion
Background clutter
Unsupervised learning
Unsupervised detector training - 1
• Highly textured neighborhoods are selected automatically• produces 100-1000 patterns per image
10
10
Unsupervised detector training - 2
“Pattern Space” (100+ dimensions)
Unsupervised detector training - 3
100-1000 images ~100 detectors
Parameter Estimation
• Take training images. Consider set of detectors…
• Apply detectors…..
Rear Views of Cars
• 200 Images (100 training, 100 testing)• Only one image per car • High-pass filtered
Preselected Parts
Model Foreground pdf
Sample Detection
Parts in Model
Learned ModelTest Error: 13% (5 Parts)
Detections of Cars
Background Images