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Recognition using specular highlights
Aaron Netz,
Margarita Osadchy
Department of Computer Science
Research output
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peer-review
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Keyphrases
Pose Estimation
100%
Specular Highlights
100%
Specular Object
100%
Viewing Conditions
50%
Estimation Accuracy
50%
3D Model
50%
Synthetic Images
50%
Single Image
50%
Light Source
50%
Challenging Conditions
50%
Outdoor Images
50%
Object Identity
50%
Model-based Recognition
50%
Low Illumination
50%
Lighting Direction
50%
Conventional Features
50%
Object of Interest
50%
Cluttered Background
50%
Indoor Image
50%
Pose Model
50%
Freeform
50%
Computer Science
Pose Estimation
100%
Specular Highlight
100%
Viewing Condition
50%
Estimation Accuracy
50%
Synthetic Image
50%
Lighting Direction
50%
Challenging Condition
50%
Object Identity
50%