
This directory contains code for the rapid computation of the gist of a visual scene. In the broad sense, the gist of a scene is what you get from in in a single brief glance; for example that it is indoors, a kitchen, rather colorful. Computationally, we here tend to characterize the gist of a scene as a low-dimensional signature that is characteristic of the entire image. The associated semantic properties of the scene (e.g., indoors vs outdoors) can then be recovered through classification on the signature vector.
for dependency graphs: rankdir: RL

Files | |
| file | extractGist.C [code] |
| file | faceDetection.C [code] |
| file | FFN.C [code] |
| file | FFN.H [code] |
| file | ModelFace.H [code] |
| file | README.dxy [code] |
| file | test-FFN.C [code] |
| file | test-Gist-Sal-Nav.C [code] |
| file | test-gist.C [code] |
| file | train-bbof.C [code] |
| Interface for training and testing GistEstimatorBeyondBoF. | |
| file | train-faceParts.C [code] |
| file | train-FFN.C [code] |
| file | train-gecb.C [code] |
| Train and classify images using the context-based gist estimator. | |
| file | train-texton.C [code] |
| file | trainUtils.C [code] |
| file | trainUtils.H [code] |
1.4.4