Data Structures
Here are the data structures with brief descriptions:
| getopt_long option | |
| AIB algorithm data | |
| Numeric array | |
| Covariant feature detector | |
| A detected feature | |
| Dense SIFT descriptor geometry | |
| Dense SIFT filter | |
| Dense SIFT keypoint | |
| Member of an enumeration | |
| Support for command line drivers - Definition | |
| Disc feature frame | |
| Ellipse feature frame | |
Oriented disc feature frame An upright frame has angle equal to zero | |
| Oriented ellipse feature frame The affine transformation transforms the ellipse shape into a circular region | |
| HIKM tree node | |
| HIKM tree | |
| IKM quantizer | |
| KDForest object | |
| Neighbor of a query point | |
| KDForest searcher object | |
| K-means quantizer | |
| Local Binary Pattern extractor | |
| LIOP descriptor extractor object | |
| MSER: extremal region (declaration) | |
| MSER filter | |
| MSER: basic region (declaration) | |
| MSER filter statistics definition | |
| MEX option | |
| PGM image meta data | |
| Quick shift results | |
| Random numbber generator state | |
| Scale space class | |
| Geometry of a scale space | |
| Geometry of one octave of a scale space | |
| SIFT filter | |
| SIFT filter keypoint | |
| SVM statistics This structure contains statistics characterising the state of the SVM solver, such as the current value of the objective function |