Difference between revisions of "Object Recognition"
From Robot Intelligence
| Line 4: | Line 4: | ||
* Affine Category Shape Model | * Affine Category Shape Model | ||
| − | ** | + | ** Contour fragment-based SPCF (Sampled Points from Contour Fragments) features |
** Rotation-invariant shape contexts with geometric blur | ** Rotation-invariant shape contexts with geometric blur | ||
::[[File:cate_pairwise.png|500px]] | ::[[File:cate_pairwise.png|500px]] | ||
| Line 18: | Line 18: | ||
= Object Identification = | = Object Identification = | ||
| + | |||
== Concept == | == Concept == | ||
| − | * | + | |
| − | * | + | * Shape-Based Feature Point Extraction |
| + | ** Contour Fragment-based SPCF (Sampled Points from Contour Fragments) feaetures | ||
| + | |||
| + | * Descriptor Computation in Bisected Local Regions | ||
| + | ** Rotation-invariant shape contexts with geometric blur | ||
| + | ** Color histogram in the opponent color space | ||
Revision as of 18:10, 17 June 2016
Object Categorization
Concept
- Affine Category Shape Model
- Contour fragment-based SPCF (Sampled Points from Contour Fragments) features
- Rotation-invariant shape contexts with geometric blur
- Spectral Matching
- Pairwise geometric descriptors between features
- Object Localization
- RANSAC-based outlier removal
Object Identification
Concept
- Shape-Based Feature Point Extraction
- Contour Fragment-based SPCF (Sampled Points from Contour Fragments) feaetures
- Descriptor Computation in Bisected Local Regions
- Rotation-invariant shape contexts with geometric blur
- Color histogram in the opponent color space
