MATCHPOINT(1) HUGIN MATCHPOINT(1)NAME
matchpoint - Run feature detection and extraction
matchpoint [options] image1.jpg output.key
matchpoint is an experimental tool for feature detection, see cpfind(1) for a working alternative.
OPTIONS -v verbose output
-t generate keypoint file for matlab test suite (file name is generated using formula: image1.jpg.key)
Path to image to be analyzed.
Output keypoint file..
"Version: 2011.4.0" 2011-12-02 MATCHPOINT(1)
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DEGHOSTING_MASK(1) HUGIN DEGHOSTING_MASK(1)NAME
deghosting_mask - Creates mask for removing ghosting in images
deghosting_mask [options] <image1> <image2> ...
Takes a series of aligned photos, usually three or more, and generates masks for removal of ghosts - Data that only appears in a minority
Prefix for output masks
Standard deviation of Gaussian weighting function (SIGMA > 0); default: 30
Number of iterations, default is (ITER > 0) default: 4
Threshold; default: 150
Change constrast before applying threshold; default: 1.3
Advanced settings. Possible options are:
f Use gray images for computation. It's about two times faster but it usually returns worse results. You also have to change threshold
to smaller value (around 100)
g Use gamma 2.2 correction instead of logarithm if input images are HDR
m Do not scale image, NOTE: slows down process
t Use simple threshold, may result in holes in images
w Compute "complete" weights, not only probabilities
Advanced save settings
i Save initial weigths
w Save generated weigths
Image cache BLOCKSIZE in kilobytes; default: 2048KB
Set image CACHESIZE in megabytes; default: 1024MB
Display this help
Verbose, repeat for more verbose output
"Version: 2011.4.0" 2011-12-02 DEGHOSTING_MASK(1)
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