Sometimes includegraphics failed in LateX.
It's due to the image Exif data.
It's failed when the dpi is well set (by default it is set to 1 on some images).
=> Open the image in Gimp and change the DPI resolution to a resonable value 300
Image/Scale image
A bunch of news about Computer vision, Computer Graphics, GPGPU or the mix of the three....
Wednesday, August 7, 2013
Tuesday, November 20, 2012
Lytro perspective change
Lytro have added the perspective change thanks to the lightField acquisition:
http://techcrunch.com/2012/11/15/lytro-reinvents-the-camera-once-again-now-lets-photos-change-perspective-along-with-focus/
http://techcrunch.com/2012/11/15/lytro-reinvents-the-camera-once-again-now-lets-photos-change-perspective-along-with-focus/
Friday, June 15, 2012
Markdow preview
Markdown is a lightweight markup language, It is supported by default on GitHub to have lightweight nice description. Here a tool in order to preview in real time your writtings !
http://github.github.com/github-flavored-markdown/preview.html
Windows guys could try the excellent: http://markdownpad.com/
Windows guys could try the excellent: http://markdownpad.com/
Thursday, June 7, 2012
SoftKinetic
Belgian Middleware company Softkinetic has developed a complete camera-based motion interface solution for Atom-based set-top-boxes and PCs.
Monday, June 4, 2012
Wednesday, February 8, 2012
Webcam realtime Sudoku solver
A nice article about merging Image processing and a real time issue (visual sudoku solver)
http://www.codeproject.com/Articles/238114/Realtime-Webcam-Sudoku-Solver
It reminds me the Martin Byröd approach
Martin Byröd,
[An Optical Sudoku Solver],
SSBA, Linköping, 2007.
Monday, January 23, 2012
Monday, December 19, 2011
Particle Swarm Optimisation and Genetic Algorithm
"Particle Swarm Optimization (PSO) is a relatively recent heuristic search method whose
mechanics are inspired by the swarming or collaborative behavior of biological populations.
PSO is similar to the Genetic Algorithm (GA) in the sense that these two evolutionary
heuristics are population-based search methods. In other words, PSO and the GA move
from a set of points (population) to another set of points in a single iteration with likely
improvement using a combination of deterministic and probabilistic rules. The GA and its
many versions have been popular in academia and the industry mainly because of its
intuitiveness, ease of implementation, and the ability to effectively solve highly nonlinear,
mixed integer optimization problems that are typical of complex engineering systems. The
drawback of the GA is its expensive computational cost." queted from "A COMPARISON OF PARTICLE SWARM OPTIMIZATION AND THE GENETIC ALGORITHM"
_____
The pseudo code of PSO procedure is as follows
For each particle
Initialize particle
END
Do
For each particle
Calculate fitness value
If the fitness value is better than the best fitness value (pBest) in history
set current value as the new pBest
End
Choose the particle with the best fitness value of all the particles as the gBest
For each particle
Calculate particle velocity according equation (a)
Update particle position according equation (b)
End
While maximum iterations or minimum error criteria is not attained
_____
Most of evolutionary techniques have the following procedure:
1. Random generation of an initial population
2. Evaluate the fitness value for each subject.
3. Reproduction of the population based on fitness values, add random solution to explore the space of solution.
4. If requirements are met, then stop. Otherwise go back to 2.
_____
Using evolutionary algorithm or PSO are nice formulation for some complex problem but visualizing the evolutionary process is fun.
You could take a look to : Yong-Hyuk Kim, Kang Hoon Lee and Yourim Yoon, Visualizing the Search Process of Particle Swarm Optimization, Proceedings of the 11th Annual conference on Genetic and evolutionary computation (GECCO 2009), 49-56, July 2009. (videos)
If you want play:
PSO: http://code.google.com/p/particle-swarm-optimization/
Genetic Algorithm: Evolving Objects (EO): an Evolutionary Computation Framework
mechanics are inspired by the swarming or collaborative behavior of biological populations.
PSO is similar to the Genetic Algorithm (GA) in the sense that these two evolutionary
heuristics are population-based search methods. In other words, PSO and the GA move
from a set of points (population) to another set of points in a single iteration with likely
improvement using a combination of deterministic and probabilistic rules. The GA and its
many versions have been popular in academia and the industry mainly because of its
intuitiveness, ease of implementation, and the ability to effectively solve highly nonlinear,
mixed integer optimization problems that are typical of complex engineering systems. The
drawback of the GA is its expensive computational cost." queted from "A COMPARISON OF PARTICLE SWARM OPTIMIZATION AND THE GENETIC ALGORITHM"
_____
The pseudo code of PSO procedure is as follows
For each particle
Initialize particle
END
Do
For each particle
Calculate fitness value
If the fitness value is better than the best fitness value (pBest) in history
set current value as the new pBest
End
Choose the particle with the best fitness value of all the particles as the gBest
For each particle
Calculate particle velocity according equation (a)
Update particle position according equation (b)
End
While maximum iterations or minimum error criteria is not attained
_____
Most of evolutionary techniques have the following procedure:
1. Random generation of an initial population
2. Evaluate the fitness value for each subject.
3. Reproduction of the population based on fitness values, add random solution to explore the space of solution.
4. If requirements are met, then stop. Otherwise go back to 2.
_____
Using evolutionary algorithm or PSO are nice formulation for some complex problem but visualizing the evolutionary process is fun.
You could take a look to : Yong-Hyuk Kim, Kang Hoon Lee and Yourim Yoon, Visualizing the Search Process of Particle Swarm Optimization, Proceedings of the 11th Annual conference on Genetic and evolutionary computation (GECCO 2009), 49-56, July 2009. (videos)
If you want play:
PSO: http://code.google.com/p/particle-swarm-optimization/
Genetic Algorithm: Evolving Objects (EO): an Evolutionary Computation Framework
A short but simple GDB tutorial
Quoted from Geeks3D "Here is a short tutorial about GBD for beginners. GDB is the powerful command line based debugger available with Linux. If you usually use a visual debugger like the one integrated in Visual Studio, a command line debugger like GDB can be a bit… frightening. But actually it’s quite easy to step into your code with it. Few commands are necessary to quickly start using GDB for basic debugging tasks."
Tutorial
Here it starts: > gdb your_program
Tutorial
Here it starts: > gdb your_program
Tuesday, December 13, 2011
Wednesday, November 23, 2011
DOOM3 Source code is available
"Doom 3 GPL source release
=========================
This file contains the following sections:
GENERAL NOTES
LICENSE
GENERAL NOTES
=============
Game data and patching:
-----------------------
This source release does not contain any game data, the game data is still
covered by the original EULA and must be obeyed as usual."
GitHub
=========================
This file contains the following sections:
GENERAL NOTES
LICENSE
GENERAL NOTES
=============
Game data and patching:
-----------------------
This source release does not contain any game data, the game data is still
covered by the original EULA and must be obeyed as usual."
GitHub
Microsoft Kinect for PC
Kinect for PC will be improved for closed range application.
Microsoft have created an investment program to help some start up (Kinect Accelerator)
Source Microsoft
Kinect Accelerator
Microsoft have created an investment program to help some start up (Kinect Accelerator)
Source Microsoft
Kinect Accelerator
Wednesday, November 9, 2011
Good bye PhotoSceneEditor, Hi 123D Catch
PhotoSceneEditor is now used in Autodesk software as 123D Catch.
"Catching Reality"
http://labs.autodesk.com/utilities/photo_scene_editor/ => http://www.123dapp.com/catch
To know more :
http://www.123dapp.com/catch
"Catching Reality"
http://labs.autodesk.com/utilities/photo_scene_editor/ => http://www.123dapp.com/catch
To know more :
http://www.123dapp.com/catch
Libellés :
Computer Graphics,
computer vision,
reconstruction
Monday, October 24, 2011
Monday, October 17, 2011
Marvelous designer
Marvelous designer allow to create nice and realistic clothes !
Source : 3dvf
Libellés :
Computer Graphics,
reconstruction
Thursday, October 13, 2011
Thursday, October 6, 2011
Rendering Synthetic Objects into Legacy Photographs
An interesting paper of SIGGRAPH ASIA 2011.
Rendering Synthetic Objects into Legacy Photographs
Kevin Karsch, Varsha Hedau, David Forsyth, Derek Hoiem
To be presented at SIGGRAPH Asia 2011
A method to realistically insert synthetic objects into existing photographs without requiring access to the scene or any additional scene measurements.
Link : http://kevinkarsch.com/publications/sa11.html
Rendering Synthetic Objects into Legacy Photographs
Kevin Karsch, Varsha Hedau, David Forsyth, Derek Hoiem
To be presented at SIGGRAPH Asia 2011
A method to realistically insert synthetic objects into existing photographs without requiring access to the scene or any additional scene measurements.
Friday, September 16, 2011
3d camera mapping.
3d camera mapping (modelling, texturing, compositing) was done with Blender 2.49
ARCHIVE PHOTO INSERTS FROM MOTALKO from Miklós Falvay on Vimeo.
ARCHIVE PHOTO INSERTS FROM MOTALKO from Miklós Falvay on Vimeo.
Wednesday, August 31, 2011
Kinect Mocap
Ipisoft purpose solution to perform Mocap from "standard" webcam or Kinect devices.
To know more product, Kinect HowTo
To know more product, Kinect HowTo
Libellés :
Computer Graphics,
computer vision,
Kinect
Autodesk real time point cloud reconstruction with Kinect
This is the result of the Benjamin Butin student Project in the Autodesk Photofly team
Libellés :
Computer Graphics,
computer vision,
Kinect,
Tech demo
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