Do not use HDR autocrop - it crops to the smallest common area. Normal 
autocrop crops to the largest area.
You may also skip autocrop and draw the rectangle with borders. Save as png 
or tif - then the outlying border will be transparent.

On Wednesday, December 11, 2019 at 8:02:18 PM UTC+1, Judson Fisher wrote:
>
> Thank you all who replied, what a responsive community!
> I tried the process again. I was using all manual control points, but I 
> don't believe I was setting the crop and view properly. Using fit and auto 
> crop HDR in the quick preview window and not using the crop button in the 
> stitch tab seems to have made the process work. 
> Sorry if I'm mistaking the function names, I'm new to Huggin and I'm not 
> in front of the computer at the moment.
> I have many more questions but I think I should start a new topic for that.
> Thanks,
> /Jud
>
>
>
>
> On Wed, Dec 11, 2019, 10:27 AM Abrimaal <[email protected] <javascript:>> 
> wrote:
>
>> 1. Check the control points, any image with any. The detector often fails 
>> with scanned images. Check the vertical lines, they are often added on the 
>> edges of photos. The best to add all control points manually.
>> 2. Set a different lens number to every image - 0,1,2,3...
>> 3. Mask out (exclude) the image borders, if they are white, black or 
>> uneven.
>> 4. Reset photometric parameters if the images are similar exposure (I 
>> think the images are black and white). 
>> 5. Optimize positions and view - it will adjust image sizes. It may 
>> result a very small field of view, so try to crop the images manually. 
>>
>> On Tuesday, December 10, 2019 at 5:40:23 PM UTC+1, Judson Fisher wrote:
>>>
>>> Hello,
>>> I am trying to align a stack of historical aerial photos using their 
>>> fiducial marks.  The images are photos of photos and were taken such that 
>>> the images sizes are inconsistent, varying by up  to 40 pixels.  I've made 
>>> control points between a base image and the rest but when I attempt to 
>>> stitch them the batch processor returns an error regarding the inconsistent 
>>> image size.  Do i need to use other software to make my image size 
>>> consistent, or can Hugin help me with this?
>>> thanks,
>>> /Jud
>>>
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