QGIS/python/plugins/processing/algs/otb/description/doc/BlockMatching.html

<html><head>
<style type="text/css">
dl { border: 3px double #ccc; padding: 0.5em; } dt { float: left; clear: left; text-align: left; font-weight: bold; color: green; } dt:after { content: ":"; } dd { margin: 0 0 0 220px; padding: 0 0 0.5em 0; }
</style>
</head><body><h1>BlockMatching</h1><h2>Brief Description</h2>Performs block-matching to estimate pixel-wise disparities between two images<h2>Tags</h2>Stereo<h2>Long Description</h2>This application allows to performs block-matching to estimate pixel-wise disparities between two images. The application allows to choose the block-matching method to use. It also allows to input masks (related to the left and right input image) of pixels for which the disparity should be investigated. Additionally, two criteria can be optionally used to disable disparity investigation for some pixel: a no-data value, and a threshold on the local variance. This allows to speed-up computation by avoiding to investigate disparities that will not be reliable anyway. For efficiency reasons, if the optimal metric values image is desired, it will be concatenated to the output image (which will then have three bands : horizontal disparity, vertical disparity and metric value). One can split these images afterward.<h2>Parameters</h2><ul><li><b>[param] -io</b> &lt;string&gt; This group of parameters allows to set the input and output images.. Mandatory: True. Default Value: &quot;0&quot;</li><li><b>[param] -mask</b> &lt;string&gt; This group of parameters allows to determine the masking parameters to prevent disparities estimation for some pixels of the left image. Mandatory: True. Default Value: &quot;0&quot;</li><li><b>[param] -bm</b> &lt;string&gt; This group of parameters allow to tune the block-matching behaviour. Mandatory: True. Default Value: &quot;0&quot;</li><li><b>[param] -ram</b> &lt;int32&gt; Available memory for processing (in MB). Mandatory: False. Default Value: &quot;128&quot;</li></ul><h2>Limitations</h2>None<h2>Authors</h2>OTB-Team<h2>See Also</h2>otbStereoRectificationGridGenerator<h2>Example of use</h2><ul><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">io.inleft: StereoFixed.png</p></li><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">io.inright: StereoMoving.png</p></li><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">bm.minhd: -10</p></li><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">bm.maxhd: 10</p></li><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">mask.variancet: 10</p></li><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">io.out: MyDisparity.tif</p></li></ul></body></html>
Update OTB processing modules 2014-01-17 19:39:17 +01:00			`<html><head>`
			`<style type="text/css">`
			`dl { border: 3px double #ccc; padding: 0.5em; } dt { float: left; clear: left; text-align: left; font-weight: bold; color: green; } dt:after { content: ":"; } dd { margin: 0 0 0 220px; padding: 0 0 0.5em 0; }`
			`</style>`
			</head><body><h1>BlockMatching</h1><h2>Brief Description</h2>Performs block-matching to estimate pixel-wise disparities between two images<h2>Tags</h2>Stereo<h2>Long Description</h2>This application allows to performs block-matching to estimate pixel-wise disparities between two images. The application allows to choose the block-matching method to use. It also allows to input masks (related to the left and right input image) of pixels for which the disparity should be investigated. Additionally, two criteria can be optionally used to disable disparity investigation for some pixel: a no-data value, and a threshold on the local variance. This allows to speed-up computation by avoiding to investigate disparities that will not be reliable anyway. For efficiency reasons, if the optimal metric values image is desired, it will be concatenated to the output image (which will then have three bands : horizontal disparity, vertical disparity and metric value). One can split these images afterward.<h2>Parameters</h2><ul><li><b>[param] -io</b> <string> This group of parameters allows to set the input and output images.. Mandatory: True. Default Value: "0"</li><li><b>[param] -mask</b> <string> This group of parameters allows to determine the masking parameters to prevent disparities estimation for some pixels of the left image. Mandatory: True. Default Value: "0"</li><li><b>[param] -bm</b> <string> This group of parameters allow to tune the block-matching behaviour. Mandatory: True. Default Value: "0"</li><li><b>[param] -ram</b> <int32> Available memory for processing (in MB). Mandatory: False. Default Value: "128"</li></ul><h2>Limitations</h2>None<h2>Authors</h2>OTB-Team<h2>See Also</h2>otbStereoRectificationGridGenerator<h2>Example of use</h2><ul><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">io.inleft: StereoFixed.png</p></li><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">io.inright: StereoMoving.png</p></li><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">bm.minhd: -10</p></li><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">bm.maxhd: 10</p></li><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">mask.variancet: 10</p></li><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">io.out: MyDisparity.tif</p></li></ul></body></html>