Align image stack

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Revision as of 07:18, 1 May 2014 by Thomas (talk | contribs) (Options: modifiers)

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align_image_stack is a command-line tool available in the development version of hugin to align overlapping images to facilitate HDR creation, Exposure blending, extended Depth of Field, and Stereoscopic images.


align_image_stack [options] input_files

Options: modes of operation

-p file   

Output .pto file (useful for debugging, or further refinement)

-a prefix 

Align images, output as prefix_xxxx.tif

-o output 

Merge images to HDR, generate output.hdr

Options: modifiers


Verbose, print progress messages


Assume input images are full frame fish eye (default: rectilinear)

-t num    

Remove all control points with an error higher than num pixels (default: 3)


Correlation threshold for identifying control points (default: 0.9)

-f HFOV   

Approximate horizontal field of view of input images, use if EXIF info not complete


Optimize field of view for all images, except for first. Useful for aligning focus stacks with slightly different magnification


Optimize radial distortion for all images, except for first.


Optimize image center shift for all images, except for first.


Optimize X coordinate of the camera position.


Optimize Y coordinate of the camera position.


Optimize Z coordinate of the camera position. Useful for aligning more distorted images.


Assume stereo images - allow horizontal shift of control points. Adds all control points as "horizontal lines".


Align stereo window - assumes -S. Adds one "normal" control point that is the nearest point so everything will appear behind the display plane.


Align stereo window with pop-out effect - assumes -S. Adds one "normal" control point that is the nearest point from the border areas so the center of the image may appear in front of the display plane.


Auto crop the image to the area covered by all images.

-c num    

Number of control points to create between adjacent images (default: 8)


Assume linear input files

-s scale

Scale down image by 2^scale (default: 1 [2x downsampling]). Scaling down images will improve speed at the cost of accuracy.

-g gsize  

Break image into a rectangular grid (gsize x gsize) and attempt to find num control points in each section (default: 5 [5x5 grid] )


Try to load distortion information from lens database


Use the image order as given from command line (By default images will be sorted by exposure values as found in EXIF data.)


Use NUM threads (by default it uses as much threads as cores)


Use GPU for remapping


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