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October 28, 2006, at 05:45 PM by 189.151.12.144 -
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* [[http://citeseer.ist.psu.edu/maxwell98teaching.html | Here]] is a review of how to teach computer vision to CS' students
to:
* [[http://citeseer.ist.psu.edu/maxwell98teaching.html | Here]] is a review of how to teach computer vision to CS' students

* The camera images are missing.
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* [[http://citeseer.ist.psu.edu/maxwell98teaching.html | Here]] is a review of how to teach computer vision to CS' students
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solve the required algorithm. In the section ACHIEVING OPTIMAL PERFORMANCE FROM THE C/C++ SOURCE CODE of the book [[ http://www.analog.com/UploadedFiles/Associated_Docs/39372613293690438645_Blackfin_comp_man.pdf | C/C++ Compiler and Library Manual for Blackfin Processors]] you will find a very nice list of conseils that you have to take into account.
to:
solve the required algorithm. In the section ACHIEVING OPTIMAL PERFORMANCE FROM THE C/C++ SOURCE CODE of the book [[ http://www.analog.com/UploadedFiles/Associated_Docs/39372613293690438645_Blackfin_comp_man.pdf | C/C++ Compiler and Library Manual for Blackfin Processors]] you will find a very nice list of conseils that you have to take into account. [[http://www.analog.com/UploadedFiles/Technical_Articles/5352047424547665311ProgrammingTechniquesForDSPs.pdf | Here]] you have a short version of the same information.
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* Lab5 : Calibration
to:
* Lab5 : [[Vision/Lab5 | Calibration ]]
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* Lab3 : Blob Computation and Tracking
to:
* Lab3 : [[Vision/Lab3 | Blob Computation and Tracking]]
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'''Image Based Visual Servoing''' In the next image the main system feedback is provided by the '''Feature Extraction''' box:
to:
'''Image Based Visual Servoing''' In the next image the main system feedback is provided by the '''Feature extraction''' box:
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* Lab4 : Line Circle Finding
to:
* Lab4 : Line/Circle Finding
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->Position Base Visual Servoing
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'''Position Base Visual Servoing''' The main difference in between the last diagram and the new one is the box whose content allows us to compute the '''Pose determination''' algortihm.
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'''Image Based Visual Servoing''' In the next image we can differentiate the boxes containing
to:
'''Image Based Visual Servoing''' In the next image the main system feedback is provided by the '''Feature Extraction''' box:
the camera is acquiring an image and such a box is computing "interest" or "reference" points from where a control
action can be computed.

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->Image Based Visual Servoing
to:
'''Image Based Visual Servoing''' In the next image we can differentiate the boxes containing
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* One of the most important concerns about the performance of any
program is the amount of computing operations needed to
solve the required algorithm. 

*
In the section ACHIEVING OPTIMAL PERFORMANCE FROM THE C/C++ SOURCE CODE of the book [[ http://www.analog.com/UploadedFiles/Associated_Docs/39372613293690438645_Blackfin_comp_man.pdf | C/C++ Compiler and Library Manual for Blackfin Processors]] you will find a very nice list of conseils that you have to take into account.
to:
* One of the most important concerns about the performance of any program is the amount of computing operations needed to
solve the required algorithm. In the section ACHIEVING OPTIMAL PERFORMANCE FROM THE C/C++ SOURCE CODE of the book [[ http://www.analog.com/UploadedFiles/Associated_Docs/39372613293690438645_Blackfin_comp_man.pdf | C/C++ Compiler and Library Manual for Blackfin Processors]] you will find a very nice list of conseils that you have to take into account.
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* Lab2 : Border Detection
to:
* Lab2 : [[Vision/Lab2 | Border Detection]]
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* [[http://homepages.inf.ed.ac.uk/rbf/CVonline/ | Here]] you will find a very nice compendium
of computer vision
to:
* [[http://homepages.inf.ed.ac.uk/rbf/CVonline/ | Here]] you will find a very nice compendium of computer vision
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of computer vision]]
to:
of computer vision
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One of the most important concerns about the performance of any
to:
* One of the most important concerns about the performance of any
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In the section ACHIEVING OPTIMAL PERFORMANCE FROM THE C/C++ SOURCE CODE of the book [[ http://www.analog.com/UploadedFiles/Associated_Docs/39372613293690438645_Blackfin_comp_man.pdf | C/C++ Compiler and Library Manual for Blackfin Processors]] you will find a very nice list of conseils that you have to take into account.



to:
* In the section ACHIEVING OPTIMAL PERFORMANCE FROM THE C/C++ SOURCE CODE of the book [[ http://www.analog.com/UploadedFiles/Associated_Docs/39372613293690438645_Blackfin_comp_man.pdf | C/C++ Compiler and Library Manual for Blackfin Processors]] you will find a very nice list of conseils that you have to take into account.

* [[http://homepages.inf.ed.ac.uk/rbf/CVonline/ | Here]] you will find a very nice compendium
of computer vision]]

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to:
''' Important Links '''

One of the most important concerns about the performance of any
program is the amount of computing operations needed to
solve the required algorithm.

In the section ACHIEVING OPTIMAL PERFORMANCE FROM THE C/C++ SOURCE CODE of the book [[ http://www.analog.com/UploadedFiles/Associated_Docs/39372613293690438645_Blackfin_comp_man.pdf | C/C++ Compiler and Library Manual for Blackfin Processors]] you will find a very nice list of conseils that you have to take into account.



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* Lab1 : Color Filtering
to:
* Lab1 : [[Vision/Lab1 | Color Filtering]]
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->Position Based Visual Servoing
to:
->Image Based Visual Servoing
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->Image Base Visual Servoing
to:
->Position Base Visual Servoing

Attach:VS3PbVs.jpg

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Attach:VS2Dimlas.jpg
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In such a way to integrate step-by-step- vision onto robotics propose you to follow the next
to:
In such a way to integrate step-by-step- vision onto robotics we propose you to follow the next
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to:
In such a way to integrate step-by-step- vision onto robotics propose you to follow the next
sequence on Labs.

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to:
* Lab1 : Color Filtering
* Lab2 : Border Detection
* Lab3 : Blob Computation and Tracking
* Lab4 : Line Circle Finding
* Lab5 : Calibration
* Lab6 : 2D-3D Pose Determination
* Lab7 : Visual Servoing



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to:
''' Labs '''


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Attach:IBVS
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Attach:VS2Dimlas.jpg

to:


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The image is left-aligned, and the text wraps on the right side of the
image.

to:
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%width=300px% http://www.cs.uml.edu/blackfin/images/VS2Dimlas.jpg

to:
Attach:VS2Dimlas.jpg

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http://www.cs.uml.edu/blackfin/images/IBVS
to:
Attach:IBVS
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http://www.cs.uml.edu/blackfin/pub/uploads/Vision/IBVS
to:
http://www.cs.uml.edu/blackfin/images/IBVS
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%lfloat% http://www.cs.uml.edu/blackfin/pub/uploads/Vision/IBVS | '''Position Based [Corke et al.]'''
to:
http://www.cs.uml.edu/blackfin/pub/uploads/Vision/IBVS
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%lfloat% http://www.cs.uml.edu/blackfin/pub/VS3PbVs.jpg | '''Position Based [Corke et al.]'''
to:
%lfloat% http://www.cs.uml.edu/blackfin/pub/uploads/Vision/IBVS | '''Position Based [Corke et al.]'''
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%lfloat% http://www.cs.uml.edu/blackfin/pub/uploads/Vision/VS3PbVs.jpg | '''Position Based [Corke et al.]'''
to:
%lfloat% http://www.cs.uml.edu/blackfin/pub/VS3PbVs.jpg | '''Position Based [Corke et al.]'''
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%lfloat% http://www.cs.uml.edu/blackfin/images/VS3PbVs.jpg | '''Position Based [Corke et al.]'''
to:
%lfloat% http://www.cs.uml.edu/blackfin/pub/uploads/Vision/VS3PbVs.jpg | '''Position Based [Corke et al.]'''
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%lfloat% http://www.cs.uml.edu/blackfin/images/VS3PbVs.jpg | '''Position Based [Corke et al.]!'''
to:
%lfloat% http://www.cs.uml.edu/blackfin/images/VS3PbVs.jpg | '''Position Based [Corke et al.]'''
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%width=300px% http://www.cs.uml.edu/blackfin/images/VS3PbVs.jpg
to:

%lfloat% http://www.cs.uml.edu/blackfin/images/VS3PbVs.jpg | '''Position Based [Corke et al.]!'''
The image is left-aligned, and the text wraps on the right side of the
image.

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%width=700px% http://www.cs.uml.edu/blackfin/images/VS3PbVs.jpg
to:
%width=300px% http://www.cs.uml.edu/blackfin/images/VS3PbVs.jpg
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%width=700px% http://www.cs.uml.edu/blackfin/images/VS2Dimlas.jpg

to:
%width=300px% http://www.cs.uml.edu/blackfin/images/VS2Dimlas.jpg

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%width=700px%  http://www.cs.uml.edu/blackfin/images/VS3PbVs.jpg
to:
%width=700px% http://www.cs.uml.edu/blackfin/images/VS3PbVs.jpg
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%width=700px%  
http://www.cs.uml.edu/blackfin/images/VS2Dimlas.jpg

to:
%width=700px% http://www.cs.uml.edu/blackfin/images/VS2Dimlas.jpg

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%width=700px%  http://www.cs.uml.edu/blackfin/images/VS3PbVs.jpg

->Image Base Visual Servoing
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http://www.cs.uml.edu/blackfin/images/VS3PbVS.jpg

->Image Base Visual Servoing
%width=700px% 
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http://www.cs.uml.edu/blackfin/images/PBVS.jpg
to:
http://www.cs.uml.edu/blackfin/images/VS3PbVS.jpg
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http://www.cs.uml.edu/blackfin/images/IBVS.jpg

to:
http://www.cs.uml.edu/blackfin/images/VS2Dimlas.jpg

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->Image Base Visual Servoing
to:
%width=700px% 
http://www.cs.uml.edu/blackfin/images/PBVS.jpg

->Image Base Visual Servoing
%width=700px% 
http://www.cs.uml.edu/blackfin/images/IBVS.jpg

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A common terminology to name the use of computer vision for robotics is called visual servoing ([[http://citeseer.ist.psu.edu/hutchinson96tutorial.html]| here] there is a link to one of the most prominent paper on that subject)
to:
A common terminology to name the use of computer vision for robotics is called visual servoing ([[http://citeseer.ist.psu.edu/hutchinson96tutorial.html| here]] there is a link to one of the most prominent paper on that subject)
Changed lines 9-10 from:
A common terminology to name the use of computer vision for robotics is called visual servoing (here[[http://citeseer.ist.psu.edu/hutchinson96tutorial.html]] there is a link to one of the most prominent paper on that subject)
to:
A common terminology to name the use of computer vision for robotics is called visual servoing ([[http://citeseer.ist.psu.edu/hutchinson96tutorial.html]| here] there is a link to one of the most prominent paper on that subject)
Added lines 9-10:
A common terminology to name the use of computer vision for robotics is called visual servoing (here[[http://citeseer.ist.psu.edu/hutchinson96tutorial.html]] there is a link to one of the most prominent paper on that subject)
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->Position Based Visual Servoing<-

-
>Image Base Visual Servoing<-
to:
->Position Based Visual Servoing

->Image Base Visual Servoing
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frame rate to the sampling and control rates.
to:
frame rate to the sampling and control rates.

There is more than one way to achieve a given goal
and sometimes, how you achive the goal is just
a matter of robot control "smoothness" and precision.

Generally speaking they are two classical ways to
integrate computer vision in robotics:

->Position Based Visual Servoing<-

->Image Base Visual Servoing<-
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This is the main page for vision work on the Blackfin Handy Board.
to:
The main challenge for integration computer vision
in robotics application consists on adjust the
frame rate to the sampling and control rates
.
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This is the main page for vision work on the Blackfin Handy Board.
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Page last modified on October 28, 2006, at 05:45 PM