[ptx] More questions on autopano-sift

Xianyong Fang FANGXIANYONG at CAD.ZJU.EDU.CN
Wed Mar 3 14:00:56 GMT 2004


  Thank Alexandre. Great! I wish that your full version can be released very soon, ^_^. 

  You mean that there is a ransac algorithm in the ltilib? If that, where can I find it?

Xianyong

========================

>Let's respond to that ... Even I'm not sebastian.
>
>Yes, you're right, there's no key pairs verification systems like a ransac
>or hough transform.
>In my own version of autopano, I used a ransac approach to get rid of the
>false pair of points
>founded beetween 2 pictures. After that you can use the same statistical
>approach as brown
>to see if there is a probability of more than 97% match by using ni > 5.9f *
>0.22*nf, (ni, ransac
>inlers, and nf ransac outlers). So you have criterion to check if pictures
>matches.
>The next stage is to regroup by panorama and have a small Levenberg
>Marquardt algorithm to
>recalculate yaw, pitch, roll to get a really good estimation of picture's
>position.
>
>My source of inspiration were the ltilib, if you want to look into
>algorithms.
>
>I will release my full version of autopano soon.
>
>Bye
>   Alexandre
>
>> -----Message d'origine-----
>> De : ptx-bounces at email-lists.org 
>> [mailto:ptx-bounces at email-lists.org] De la part de Xianyong Fang
>> Envoy?: mercredi 3 mars 2004 14:03
>> ?: Sebastian Nowozin; ptx at email-lists.org
>> Objet : [ptx] More questions on autopano-sift
>> 
>> 
>> Hi Sebastian,
>>  
>>   Thank you very much for your autopano-sift package. After 
>> analysis it, I finally understand the ideas in Lowe's paper. 
>> 
>>   Still I have some more questions. It seems to me that your 
>> package just treat all the images that can fully stitched 
>> into one panorama or wide angle image. In your package, you 
>> don't consider how to remove false image matches as Brown's 
>> paper discussed.In Brown's paper, he used a probabilistic 
>> model to verify the homography recovered by ransac method. 
>> But in your implementation, after getting the matched match 
>> feature pairs, you just send the result into hugin without 
>> image match verification. Am I right? If I am right, do you 
>> know any existing implementation that can realize homography 
>> verification? I am lazy,and don't want to code it even,*_*  
>> 
>>   Thank you very much in advance.	
>> 
>> Xianyong
>> 
>> 
>> 

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