Gist Directory Reference

Rapid computation of the gist of the scene.

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src/Gist/

Files

file  ContourBoundaryDetector.C [code]
file  ContourBoundaryDetector.H [code]
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  SalientRegionSegmenter.C [code]
file  SalientRegionSegmenter.H [code]
file  SuperPixel.H [code]
file  SuperPixel_disjoint_set.H [code]
file  SuperPixel_filter.H [code]
file  SuperPixel_segment_graph.H [code]
file  test-FFN.C [code]
file  test-Gist-Sal-Nav.C [code]
file  test-gist.C [code]
file  test-MotionSegment.C [code]
file  test-SuperPixel.C [code]
file  test-VarianceRidgeDetector.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-surfpmk.C [code]
 

Interface for training and testing GistEstimatorSurfPMK.


file  train-texton.C [code]
file  trainUtils.C [code]
file  trainUtils.H [code]

Detailed Description

Rapid computation of the gist of the scene.

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

Generated on Sun May 8 08:44:59 2011 for iLab Neuromorphic Vision Toolkit by  doxygen 1.6.3