Gist Directory Reference

Rapid computation of the gist of the scene.

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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]

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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