Re: [hugin-ptx] Re: Hugin++ : fast geometrical optimization and other features

2021-07-16 Thread Florian Königstein
I also changed the columns with the "left image" and the "right image". You 
know that every control
point connects two images. One of the image is declared to be the "left 
image" and the other the "right image".
But for the functionality of the control point it doesn't matter whether 
it's declared so or vice versa (reversing the assignment
of "left image" and "right image".

It seems that when creating CPs with CPfind (Hugin's automatic CP 
detector), the image with the smaller image number
is declared as "left image" and the other (with bigger number) the "right 
image". But if you add CPs manually in
the CP editor, you may select an image with a bigger number in the left 
image pane and the other in the right pane.
Then when adding CPs manually, they have the bigger image number "left" and 
the smaller number "right".

When using Hugin, I may want to see in the control point list all CPs that 
connect one special image (say image Nr. 100)
with any other image. In Hugin version 2020 I can sort the column "left 
image" by clicking on its header.  Sometimes I made the error
to assume that by scrolling to the CPs with "left image" 100 I could see 
all CPs that connect image 100 with some other.
But this is not right because there are also CPs that have image 100 as 
"right image" and some other as "left image".

So I decided not to use the columns "left image" and "right image", but 
instead the columns "Min Image Nr" and "Max Image Nr".
The problem with finding all CPs with and image Nr 100 and any other image 
is still there in my version of Hugin (with the new columns),
but in my eyes it's clearer with my solution. When sorting by ascending 
"Min image" and go to where the min images Nr 100 are,
it's clear that the corresponding "Max images" cannot be smaller that 100. 
So you must afterwards sort by "Max image Nr" and goto
max images 100. So you can see the min images with numbers < 100.

Of course the problem of finding all CPs that connect e.g. image Nr. 100 
with some other image can also be solved in the CP editor
by selecting image Nr. 100 left and seeing the images that are highlighted 
in the drop-down list right.

When selecting two images in the left and right drop-down lists in the 
image editor all CPs are shown if they connect these
two images - even if the assignment to "left" and "right" image is 
reversed. This also shows that the order in that "left" and "right" are 
assigned to the images of a CP doesn't matter for the functionality.
.


Florian Königstein schrieb am Donnerstag, 15. Juli 2021 um 09:36:42 UTC+2:

>
> I did the following changes on Hugin++:
>
> * When stitching the panorama, a temporary file with the image filenames 
> is created if the command line would be longer than about
> 7000 characters (to be exact: 8191 - 1024, older versions of Windows 
> support only 8191 chars in a command line,
> and for other arguments I reserved generously 1024 chars). So Hugin++ 
> works both with enblend and with my modified Multiblend if the command line 
> would be too long.
>
> In the control point list the following is changed:
>
> * Added the buttons "next new image pair" and "previous new image pair". A 
> click on
>   "next new image pair" causes the next image pair (down) in the current 
> ordering to
>   be selected that is not used by the current or any of the above control 
> points.
>   I find it useful because I order the list by descending errors. I begin 
> with image
>   pairs with control points with high errors and delete bad CPs or 
> increase weights of good CPs.
>   Then I go down in the list, but often there are CPs from the same image 
> pair that I have
>   already checked. So by clicking on "next new image pair" I don't loose 
> time by looking at
>   the same image pair several times.
>   
> * "Stable ordering": You know that the list is sorted when clicking on the 
> list header in one column.
>   It is sorted by the "sort keys" in that column.
>   Stable ordering means that - if there are CPs with equal sort keys - 
> they are sorted by the (subordinated) sort key
>   of the column on whose header was previously clicked. If there are CPs 
> whose subordinated sort keys are also
>   equal, they are sorted by a sub-subordinated sort key (in the 2nd 
> previously clicked column).
>   
> * Added "average yaw" and "average pitch" in respective new columns of the 
> list. These are the
>   average yaw or pitch of the two images of the CP. The yaw and pitch can 
> be used just for information or for
>   sorting. Since yaw and pitch are real (not integer) values, CPs with 
> equal "average" yaw or pitch are typically
>   only those belonging to the same pair of images.
>   
> However you may want to view e.g. all control points with yaw between 20 
> and 40 and pitch between 0 and 20 and
> sort them by descending error.
> This is possible by not using the average yaw or pitch directly as sort 
> key. Instead the average yaw and pitch can be
> projected into one inter

Re: [hugin-ptx] Re: Hugin++ : fast geometrical optimization and other features

2021-07-15 Thread Florian Königstein

I did the following changes on Hugin++:

* When stitching the panorama, a temporary file with the image filenames is 
created if the command line would be longer than about
7000 characters (to be exact: 8191 - 1024, older versions of Windows 
support only 8191 chars in a command line,
and for other arguments I reserved generously 1024 chars). So Hugin++ works 
both with enblend and with my modified Multiblend if the command line would 
be too long.

In the control point list the following is changed:

* Added the buttons "next new image pair" and "previous new image pair". A 
click on
  "next new image pair" causes the next image pair (down) in the current 
ordering to
  be selected that is not used by the current or any of the above control 
points.
  I find it useful because I order the list by descending errors. I begin 
with image
  pairs with control points with high errors and delete bad CPs or increase 
weights of good CPs.
  Then I go down in the list, but often there are CPs from the same image 
pair that I have
  already checked. So by clicking on "next new image pair" I don't loose 
time by looking at
  the same image pair several times.
  
* "Stable ordering": You know that the list is sorted when clicking on the 
list header in one column.
  It is sorted by the "sort keys" in that column.
  Stable ordering means that - if there are CPs with equal sort keys - they 
are sorted by the (subordinated) sort key
  of the column on whose header was previously clicked. If there are CPs 
whose subordinated sort keys are also
  equal, they are sorted by a sub-subordinated sort key (in the 2nd 
previously clicked column).
  
* Added "average yaw" and "average pitch" in respective new columns of the 
list. These are the
  average yaw or pitch of the two images of the CP. The yaw and pitch can 
be used just for information or for
  sorting. Since yaw and pitch are real (not integer) values, CPs with 
equal "average" yaw or pitch are typically
  only those belonging to the same pair of images.
  
However you may want to view e.g. all control points with yaw between 20 
and 40 and pitch between 0 and 20 and
sort them by descending error.
This is possible by not using the average yaw or pitch directly as sort 
key. Instead the average yaw and pitch can be
projected into one interval inside a "stack" of equally-sized intervals. 
Then the number of the intervals can
be used as sorting key.
The sorting from the above example can be achieved as follows: First, click 
on the "error" column header once
or twice, so that sorting is done by descending errors.
Then click on the header of the "average pitch" column. A dialog appears in 
that you can specify the pitch interval
from 0 to 20. Chose OK. Now sorting is done by the average pitch interval 
number, followed by the error as subordinated
sort key. Now click on the "average yaw" column header. In the appearing 
dialog choose the interval from 20 to 40.
Now sorting is done by the average yaw interval number, followed by the 
average pitch interval number as subordinated
sort key and by the error as sub-subordinated sort key. All CPs that have 
an image pair with average yaw and pitch in
the respective interval have yaw and pitch interval numbers 0. Scroll the 
list to where these CPs are. They are
sorted by descending errors.

Florian Königstein schrieb am Donnerstag, 1. Juli 2021 um 22:01:19 UTC+2:

> There's a bug both in Hugin++ and in the latest official Hugin release 
> (Hugin-2020.0.0):
> To reproduce it, start Hugin, and open a PTO file that is large enough so 
> that the loading takes some seconds.
> Before the loading has finished, press the grayed out button for 
> geometrical optimization in the "images" tab TWO times.
> After loading has finished, two windows with title "Panorama Tools" will 
> appear. In one the text 012345678901234567890123456789... appears
> and nothing changes over time.
> The other "Panorama Tools" window behaves normally. When finished 
> optimization, accept the results.
> Then Hugin / Hugin++ will crash.
>
> I didn't have the time to fix the bug. Maybe later.
>
> Florian Königstein schrieb am Donnerstag, 1. Juli 2021 um 21:46:47 UTC+2:
>
>> I have an update for fastPTOptimizer and also for the Windows installer 
>> for Hugin++ that also installs the binaries for fastPTOptimizer.
>> When there are weights for CPs other than 1, say a weight 'w', it should 
>> be exactly as if you had 'w' CPs with weight 1 at the same position. In the 
>> old version of fastPTOptimizer the reported error during the optimization 
>> wasn't correct. If e.g. all weights are 1000, the reported error should be 
>> the same as if all weights were 1 since the error is an average over all 
>> CP's errors. In the old version the error was too high if weights > 1 were 
>> used. I have corrected it.
>>
>> bruno...@gmail.com schrieb am Donnerstag, 1. Juli 2021 um 12:14:54 UTC+2:
>>
>>> Apologies, I was wrong about this. Sourceforge does support the usual 
>>>

Re: [hugin-ptx] Re: Hugin++ : fast geometrical optimization and other features

2021-07-01 Thread Florian Königstein
There's a bug both in Hugin++ and in the latest official Hugin release 
(Hugin-2020.0.0):
To reproduce it, start Hugin, and open a PTO file that is large enough so 
that the loading takes some seconds.
Before the loading has finished, press the grayed out button for 
geometrical optimization in the "images" tab TWO times.
After loading has finished, two windows with title "Panorama Tools" will 
appear. In one the text 012345678901234567890123456789... appears
and nothing changes over time.
The other "Panorama Tools" window behaves normally. When finished 
optimization, accept the results.
Then Hugin / Hugin++ will crash.

I didn't have the time to fix the bug. Maybe later.

Florian Königstein schrieb am Donnerstag, 1. Juli 2021 um 21:46:47 UTC+2:

> I have an update for fastPTOptimizer and also for the Windows installer 
> for Hugin++ that also installs the binaries for fastPTOptimizer.
> When there are weights for CPs other than 1, say a weight 'w', it should 
> be exactly as if you had 'w' CPs with weight 1 at the same position. In the 
> old version of fastPTOptimizer the reported error during the optimization 
> wasn't correct. If e.g. all weights are 1000, the reported error should be 
> the same as if all weights were 1 since the error is an average over all 
> CP's errors. In the old version the error was too high if weights > 1 were 
> used. I have corrected it.
>
> bruno...@gmail.com schrieb am Donnerstag, 1. Juli 2021 um 12:14:54 UTC+2:
>
>> Apologies, I was wrong about this. Sourceforge does support the usual 
>> fork/pull-request workflow, with both mercurial and git. 
>>
>> -- 
>> Bruno 
>>
>> On 28 June 2021 20:51:13 BST, Bruno Postle wrote: 
>>
>> >This is an illustration of our creaking infrastructure. Sourceforge 
>> >doesn't support the fork/pull-request/merge workflow that we have 
>> >become used-to with github/bitbucket, so anyone wanting to work 
>> >separately on Hugin needs to create a new repository or create a 
>> >branch in the main repository. Florian, do you need access to work on 
>> >this in a Hugin branch? 
>>
>

-- 
A list of frequently asked questions is available at: 
http://wiki.panotools.org/Hugin_FAQ
--- 
You received this message because you are subscribed to the Google Groups 
"hugin and other free panoramic software" group.
To unsubscribe from this group and stop receiving emails from it, send an email 
to hugin-ptx+unsubscr...@googlegroups.com.
To view this discussion on the web visit 
https://groups.google.com/d/msgid/hugin-ptx/6af9b651-69b7-4474-bcb7-cb4c7cca0d2fn%40googlegroups.com.


Re: [hugin-ptx] Re: Hugin++ : fast geometrical optimization and other features

2021-07-01 Thread Florian Königstein
I have an update for fastPTOptimizer and also for the Windows installer for 
Hugin++ that also installs the binaries for fastPTOptimizer.
When there are weights for CPs other than 1, say a weight 'w', it should be 
exactly as if you had 'w' CPs with weight 1 at the same position. In the 
old version of fastPTOptimizer the reported error during the optimization 
wasn't correct. If e.g. all weights are 1000, the reported error should be 
the same as if all weights were 1 since the error is an average over all 
CP's errors. In the old version the error was too high if weights > 1 were 
used. I have corrected it.

bruno...@gmail.com schrieb am Donnerstag, 1. Juli 2021 um 12:14:54 UTC+2:

> Apologies, I was wrong about this. Sourceforge does support the usual 
> fork/pull-request workflow, with both mercurial and git.
>
> -- 
> Bruno
>
> On 28 June 2021 20:51:13 BST, Bruno Postle wrote:
>
> >This is an illustration of our creaking infrastructure. Sourceforge
> >doesn't support the fork/pull-request/merge workflow that we have
> >become used-to with github/bitbucket, so anyone wanting to work
> >separately on Hugin needs to create a new repository or create a
> >branch in the main repository. Florian, do you need access to work on
> >this in a Hugin branch?
>

-- 
A list of frequently asked questions is available at: 
http://wiki.panotools.org/Hugin_FAQ
--- 
You received this message because you are subscribed to the Google Groups 
"hugin and other free panoramic software" group.
To unsubscribe from this group and stop receiving emails from it, send an email 
to hugin-ptx+unsubscr...@googlegroups.com.
To view this discussion on the web visit 
https://groups.google.com/d/msgid/hugin-ptx/2ba6afce-aaa2-440f-9c97-fa1b7ef98b35n%40googlegroups.com.


Re: [hugin-ptx] Re: Hugin++ : fast geometrical optimization and other features

2021-07-01 Thread Bruno Postle
Apologies, I was wrong about this. Sourceforge does support the usual 
fork/pull-request workflow, with both mercurial and git.

-- 
Bruno

On 28 June 2021 20:51:13 BST, Bruno Postle wrote:

>This is an illustration of our creaking infrastructure. Sourceforge
>doesn't support the fork/pull-request/merge workflow that we have
>become used-to with github/bitbucket, so anyone wanting to work
>separately on Hugin needs to create a new repository or create a
>branch in the main repository. Florian, do you need access to work on
>this in a Hugin branch?

-- 
A list of frequently asked questions is available at: 
http://wiki.panotools.org/Hugin_FAQ
--- 
You received this message because you are subscribed to the Google Groups 
"hugin and other free panoramic software" group.
To unsubscribe from this group and stop receiving emails from it, send an email 
to hugin-ptx+unsubscr...@googlegroups.com.
To view this discussion on the web visit 
https://groups.google.com/d/msgid/hugin-ptx/190626BF-0F44-47E3-B232-991E76969BA9%40postle.net.


Re: [hugin-ptx] Re: Hugin++ : fast geometrical optimization and other features

2021-06-30 Thread Florian Königstein
@Bruno: Thanks, but I think for the moment I put my work into Hugin++ / 
fastPTOptimizer. Maybe later.

gunter.ko...@gmail.com schrieb am Montag, 28. Juni 2021 um 22:08:55 UTC+2:

> If weighing control points by cpfind's confidence that this is a valid 
> control point makes sense? If there are repeating structures like window 
> fronts sometimes control points look excellent even at the second glance, 
> though...
> -- 
> Sent from my Android device with K-9 Mail. Please excuse my brevity.
>

-- 
A list of frequently asked questions is available at: 
http://wiki.panotools.org/Hugin_FAQ
--- 
You received this message because you are subscribed to the Google Groups 
"hugin and other free panoramic software" group.
To unsubscribe from this group and stop receiving emails from it, send an email 
to hugin-ptx+unsubscr...@googlegroups.com.
To view this discussion on the web visit 
https://groups.google.com/d/msgid/hugin-ptx/719fed66-9b4c-4a55-b043-a79255282aaan%40googlegroups.com.


Re: [hugin-ptx] Re: Hugin++ : fast geometrical optimization and other features

2021-06-28 Thread Gunter Königsmann
If weighing control points by cpfind's confidence that this is a valid control 
point makes sense? If there are repeating structures like window fronts   
sometimes control points look excellent even at the second glance, though...
-- 
Sent from my Android device with K-9 Mail. Please excuse my brevity.

-- 
A list of frequently asked questions is available at: 
http://wiki.panotools.org/Hugin_FAQ
--- 
You received this message because you are subscribed to the Google Groups 
"hugin and other free panoramic software" group.
To unsubscribe from this group and stop receiving emails from it, send an email 
to hugin-ptx+unsubscr...@googlegroups.com.
To view this discussion on the web visit 
https://groups.google.com/d/msgid/hugin-ptx/FECFD97A-86ED-45E2-AFF4-33070751CD86%40gmail.com.


Re: [hugin-ptx] Re: Hugin++ : fast geometrical optimization and other features

2021-06-28 Thread Bruno Postle
On Mon, 28 Jun 2021 at 16:19, Tobias  wrote:
>
> what is the reason, that fastPTOptimizer is not part of the official hugin.

It is in a branch of libpano13, but this code is still being
worked-on, so ready for testing but not ready for release:
https://sourceforge.net/p/panotools/libpano13/ci/libpano13-2.9.21/tree/

This is an illustration of our creaking infrastructure. Sourceforge
doesn't support the fork/pull-request/merge workflow that we have
become used-to with github/bitbucket, so anyone wanting to work
separately on Hugin needs to create a new repository or create a
branch in the main repository. Florian, do you need access to work on
this in a Hugin branch?

-- 
Bruno

-- 
A list of frequently asked questions is available at: 
http://wiki.panotools.org/Hugin_FAQ
--- 
You received this message because you are subscribed to the Google Groups 
"hugin and other free panoramic software" group.
To unsubscribe from this group and stop receiving emails from it, send an email 
to hugin-ptx+unsubscr...@googlegroups.com.
To view this discussion on the web visit 
https://groups.google.com/d/msgid/hugin-ptx/CAJV99ZheqBZgoJuV92jVrCXp%3D%2BUs-Ayy%2Bwafm_2BNAXp8ZZvUA%40mail.gmail.com.


Re: [hugin-ptx] Re: Hugin++ : fast geometrical optimization and other features

2021-06-28 Thread Bruno Postle
On Mon, 28 Jun 2021 at 16:19, Tobias  wrote:
>
> what is the reason, that fastPTOptimizer is not part of the official hugin.

It is in the

-- 
A list of frequently asked questions is available at: 
http://wiki.panotools.org/Hugin_FAQ
--- 
You received this message because you are subscribed to the Google Groups 
"hugin and other free panoramic software" group.
To unsubscribe from this group and stop receiving emails from it, send an email 
to hugin-ptx+unsubscr...@googlegroups.com.
To view this discussion on the web visit 
https://groups.google.com/d/msgid/hugin-ptx/CAJV99ZhwYi7wtdH5F3nzN3d%2BqKziNT6qFkBx2A7-TATT%2ByftmQ%40mail.gmail.com.


[hugin-ptx] Re: Hugin++ : fast geometrical optimization and other features

2021-06-28 Thread Florian Königstein
I believe that fast optimization like in fastPTOptimizer will also be 
available in Hugin in the next official release.

I see fastPTOptimizer and Hugin++ as a possibility to publish my ideas as 
sources and also binaries a bit earlier - for encouraging discussions and 
also because I like using these features for my own panoramas.

Maybe there are some features in Hugin++ that shall not be integrated into 
Hugin for some reasons, e.g. there was a discussion whether weights for 
control points make sense.
Anyway I try to avoid unnecessary changes to the source code in order to 
facilitate a possible integration of my new features into Hugin.

Florian

Tobias schrieb am Montag, 28. Juni 2021 um 17:19:18 UTC+2:

> Hello,
>
> what is the reason, that fastPTOptimizer is not part of the official hugin.
>
> Regards,
> Tobias
>
> Florian Königstein schrieb am Montag, 28. Juni 2021 um 09:31:08 UTC+2:
>
>> Hugin++ is a fork of Hugin that is linked to fastPTOptimizer, a fork of 
>> the libpano13 library.
>>
>> When you have only a small or medium number of images and control points, 
>> the original optimizer does the optimization in a fairly short time. 
>> However if you have a large number of images (several hundrets or even more 
>> than thousand) and many control points, the original optimizer typically 
>> needs much time for the optimization of the parameters.
>>
>> With Hugin++ the time for the geometrical optimization is much shorter 
>> for large panoramas. Speedup factors of 100 or more are possible.
>>
>> Update 28.06.2021:
>>
>> I have added support for weights for control points. The default weight 
>> for each control points is 1. Assigning a weight higher than 1, say 'w', to 
>> a control point is equivalent to have 'w' control points with weight 1 at 
>> the same position. This causes the control point's error to contribute 'w' 
>> times more to the (weighted) sum of squares that the optimizer tries to 
>> minimize.
>>
>> A control point with a high weight tends to have a small error after 
>> optimization - if this is
>> possible. But high weights should be used with care: In the extreme case 
>> that all control points have a weight of e.g. 1000 the optimizer finds 
>> exactly the same parameters as if the control points had the weight 1. What 
>> counts is the relation of the weights for the different control points.
>>
>> What makes sense is assigning higher weights to control points that are 
>> likely placed precisely and lower weights to points that are less precise, 
>> e.g. if the object where they are placed may have moved in the meantime 
>> between shooting the two images.
>> You may also assign high weights to control points on objects where 
>> larger errors would be visually striking - if you are sure that these 
>> objects have not moved much.
>>
>> For example, I have shot photos for a panorama where are trees, a stream 
>> and a bridge over the stream. After optimization without weights for 
>> control points (or all CPs having equal weight) there were visually 
>> striking errors on the bridge. On the other hand I know that the bridge has 
>> not moved noticeably.
>> So I could assign higher weights to CPs on the bridge. Other CPs, e.g. on 
>> the trees, might have moved - especially if they are on leafs of smaller 
>> branches of trees. Of course I tried not to place CPs on leafs but instead 
>> on trunks or bigger branches of the trees. But this in not always possible 
>> - especially if you use a high focal length (low angle of view).
>>
>> Generally, assigning higher weight to a control point can lead to smaller 
>> errors of the CPs - if this it possible. But this is on the cost of getting 
>> larger errors on other control points.
>> If the CP with a higher weight is placed precisely, the increase of 
>> errors on other control points will probably be tolerable. A counterexample 
>> is the following: If a "bad" control point, e.g. an outlier (placed on 
>> different objects) or on a moving object, is assigned a higher weight, the 
>> error for this CP might decrease, but all other errors might increase in a 
>> non-tolerable way.
>>
>> The "weights for control points" feature is currently available in a 
>> development version of Hugin++:
>> https://sourceforge.net/projects/huginplusplus/files/development/
>>
>> Currently the only way to assign weights other than 1 to control points 
>> is changing the weight manually in the "control points" tab of Hugin++.  
>> Control points that are generated automatically, e.g. by CPfind, will 
>> currently have weight 1.
>> A nice task for the future would be to change CPfind so that the control 
>> points get a weight other than 1 automatically. Some algorithm - including 
>> machine learning algorithms - might predict whether the control points 
>> might be on a moving object and how large a possible movement might be. 
>> With this information the CP detector could assign reasonable weights to 
>> the control point.
>>
>

-- 
A list 

[hugin-ptx] Re: Hugin++ : fast geometrical optimization and other features

2021-06-28 Thread Tobias
Hello,

what is the reason, that fastPTOptimizer is not part of the official hugin.

Regards,
Tobias

Florian Königstein schrieb am Montag, 28. Juni 2021 um 09:31:08 UTC+2:

> Hugin++ is a fork of Hugin that is linked to fastPTOptimizer, a fork of 
> the libpano13 library.
>
> When you have only a small or medium number of images and control points, 
> the original optimizer does the optimization in a fairly short time. 
> However if you have a large number of images (several hundrets or even more 
> than thousand) and many control points, the original optimizer typically 
> needs much time for the optimization of the parameters.
>
> With Hugin++ the time for the geometrical optimization is much shorter for 
> large panoramas. Speedup factors of 100 or more are possible.
>
> Update 28.06.2021:
>
> I have added support for weights for control points. The default weight 
> for each control points is 1. Assigning a weight higher than 1, say 'w', to 
> a control point is equivalent to have 'w' control points with weight 1 at 
> the same position. This causes the control point's error to contribute 'w' 
> times more to the (weighted) sum of squares that the optimizer tries to 
> minimize.
>
> A control point with a high weight tends to have a small error after 
> optimization - if this is
> possible. But high weights should be used with care: In the extreme case 
> that all control points have a weight of e.g. 1000 the optimizer finds 
> exactly the same parameters as if the control points had the weight 1. What 
> counts is the relation of the weights for the different control points.
>
> What makes sense is assigning higher weights to control points that are 
> likely placed precisely and lower weights to points that are less precise, 
> e.g. if the object where they are placed may have moved in the meantime 
> between shooting the two images.
> You may also assign high weights to control points on objects where larger 
> errors would be visually striking - if you are sure that these objects have 
> not moved much.
>
> For example, I have shot photos for a panorama where are trees, a stream 
> and a bridge over the stream. After optimization without weights for 
> control points (or all CPs having equal weight) there were visually 
> striking errors on the bridge. On the other hand I know that the bridge has 
> not moved noticeably.
> So I could assign higher weights to CPs on the bridge. Other CPs, e.g. on 
> the trees, might have moved - especially if they are on leafs of smaller 
> branches of trees. Of course I tried not to place CPs on leafs but instead 
> on trunks or bigger branches of the trees. But this in not always possible 
> - especially if you use a high focal length (low angle of view).
>
> Generally, assigning higher weight to a control point can lead to smaller 
> errors of the CPs - if this it possible. But this is on the cost of getting 
> larger errors on other control points.
> If the CP with a higher weight is placed precisely, the increase of errors 
> on other control points will probably be tolerable. A counterexample is the 
> following: If a "bad" control point, e.g. an outlier (placed on different 
> objects) or on a moving object, is assigned a higher weight, the error for 
> this CP might decrease, but all other errors might increase in a 
> non-tolerable way.
>
> The "weights for control points" feature is currently available in a 
> development version of Hugin++:
> https://sourceforge.net/projects/huginplusplus/files/development/
>
> Currently the only way to assign weights other than 1 to control points is 
> changing the weight manually in the "control points" tab of Hugin++.  
> Control points that are generated automatically, e.g. by CPfind, will 
> currently have weight 1.
> A nice task for the future would be to change CPfind so that the control 
> points get a weight other than 1 automatically. Some algorithm - including 
> machine learning algorithms - might predict whether the control points 
> might be on a moving object and how large a possible movement might be. 
> With this information the CP detector could assign reasonable weights to 
> the control point.
>

-- 
A list of frequently asked questions is available at: 
http://wiki.panotools.org/Hugin_FAQ
--- 
You received this message because you are subscribed to the Google Groups 
"hugin and other free panoramic software" group.
To unsubscribe from this group and stop receiving emails from it, send an email 
to hugin-ptx+unsubscr...@googlegroups.com.
To view this discussion on the web visit 
https://groups.google.com/d/msgid/hugin-ptx/7d138fac-4055-4e74-82a6-4868725b438cn%40googlegroups.com.