| add_training_image(Image *im, const char *label) | EigenFace | |
| average_training_image | EigenFace | [private] |
| calculate_eigenfaces() | EigenFace | |
| check_eigenvectors() | EigenFace | |
| check_training() | EigenFace | |
| classify(Image *im, double threshold=DBL_MAX, int k=3, int dim=10) | EigenFace | |
| cleanup() | EigenFace | [private] |
| convert_image_to_vector(Image *im) | EigenFace | [private] |
| decode(vnl_vector< double > *wts) | EigenFace | |
| EigenFace() | EigenFace | [inline] |
| eigenvalues | EigenFace | [private] |
| eigenvectors | EigenFace | [private] |
| encode(Image *im) | EigenFace | |
| encode(vnl_vector< double > *im) | EigenFace | |
| encode_training_images() | EigenFace | [private] |
| encoded_training_images | EigenFace | [private] |
| get_eigenvalue(int i) | EigenFace | |
| get_eigenvector(int i) | EigenFace | |
| get_label(unsigned int i) | EigenFace | [inline] |
| image_size | EigenFace | [private] |
| num_vectors() const | EigenFace | [inline] |
| output_xgobi(char *basefile) | EigenFace | |
| save_as_images(int width, int height) | EigenFace | |
| training_images | EigenFace | [private] |
| training_labels | EigenFace | [private] |
| ~EigenFace() | EigenFace |
1.7.5.1