Documentation - Matlab API - SIFT - VL_PHOW

[FRAMES, DESCRS] = VL_PHOW(IM) extracts PHOW features from the image IM. This function is a wrapper around VL_DSIFT() and VL_IMSMOOTH().

The PHOW descriptors where introduced in [1]. By default, VL_PHOW() computes the gray-scale variant of the descriptor. The COLOR option can be used to compute the color variant instead.

Verbose false

Set to true to turn on verbose output.

Sizes [4 6 8 10]

Scales at which the dense SIFT features are extracted. Each value is used as bin size for the VL_DSIFT() function.

Fast true

Set to false to turn off the fast SIFT features computation by VL_DSIFT().

Step 2

Step (in pixels) of the grid at which the dense SIFT features are extracted.

Color false

Set to true to compute PHOW-color rather than PHOW-gray.

ContrastThreshold 0.005

Contrast threshold below which SIFT features are mapped to zero. The input image is scaled to have intensity range in [0,1] (rather than [0,255]) and this value is compared to the descriptor norm as returned by VL_DSIFT().

WindowSize 1.5

Size of the Gaussian window in units of spatial bins.

Magnif 6

The image is smoothed by a Gaussian kernel of standard deviation SIZE / MAGNIF.

See also: VL_HELP(), VL_DSIFT().