Interest Point Based Tracking for Markerless Augmented Reality
Interest Point Based Tracking for Markerless Augmented Reality
Interest Point Based Tracking for Markerless Augmented Reality
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<strong>Interest</strong> <strong>Point</strong> <strong>Based</strong> <strong>Tracking</strong> <strong>for</strong><strong>Markerless</strong> <strong>Augmented</strong> <strong>Reality</strong>Francisco Paulo Magalhães Simões (fpms@cin.ufpe.br)Veronica Teichrieb (vt@cin.ufpe.br)Virtual <strong>Reality</strong> and Multimedia Research GroupFederal University of Pernambuco, Computer Science Center7/25/2010
<strong>Augmented</strong> <strong>Reality</strong>
Marker X <strong>Markerless</strong>
3D <strong>Tracking</strong>Single CameraMARSfM/SLAMModel <strong>Based</strong>Real-timeSfMMonoSLAMTexture<strong>Based</strong>Edge <strong>Based</strong>Lima, J. P. S. M. ; Simoes, F. P. M. ; Figueiredo, L. S. ; Teichrieb, V. ; Kelner, J. . “Onlinemonocular markerless 3D tracking <strong>for</strong> augmented reality”. In: Minicourses book of XISymposium On Virtual And <strong>Augmented</strong> <strong>Reality</strong>, 2009
3D <strong>Tracking</strong>Single CameraMARSfM/SLAMModel <strong>Based</strong>Real-timeSfMMonoSLAMTexture<strong>Based</strong>Edge <strong>Based</strong><strong>Interest</strong><strong>Point</strong>sTemplateMatchingLima, J. P. S. M. ; Simoes, F. P. M. ; Figueiredo, L. S. ; Teichrieb, V. ; Kelner, J. . “Onlinemonocular markerless 3D tracking <strong>for</strong> augmented reality”. In: Minicourses book of XISymposium On Virtual And <strong>Augmented</strong> <strong>Reality</strong>, 2009
Particle Filters• Generate hypotheses (particles)• Evaluate generated particles using likelihood• Get problem solution by combining the bestparticles
Particle Filters
Particle Filters
• Top-down approachIPB + Particle Filters• Generate poses hypotheses using a gaussianpdf applied to previous pose• Evaluate the likelihood as the reprojection error<strong>for</strong> all particles• Composes the poses hypotheses generating thenew pose of the camera
Preliminary Results• Bottom-up <strong>Interest</strong> <strong>Point</strong> <strong>Based</strong>Lima, J. P. S. M. ; Simoes, F. P. M. ; Figueiredo, L. S. ; Teichrieb, V. ; Kelner, J. ; Santos, I. .Model <strong>Based</strong> 3D <strong>Tracking</strong> Techniques <strong>for</strong> <strong>Markerless</strong> <strong>Augmented</strong> <strong>Reality</strong>. In: XISymposium On Virtual And <strong>Augmented</strong> <strong>Reality</strong>, 2009.
IPB + Edge <strong>Based</strong> + Particle Filters• If I have TIME and good results!!!!!• Maybe in PhD research• Scenes of the next chapter...
• <strong>Augmented</strong> <strong>Reality</strong>– Model <strong>Based</strong>– SfM/Slam– Projective ARResearch <strong>Interest</strong>sSIMOES, F. P. M. ; Lima, J. P. S. M. ; TEICHRIEB, V. ; KELNER, J. . <strong>Markerless</strong> <strong>Augmented</strong><strong>Reality</strong> based on Sampling Edges . In: 5º Workshop on Virtual and <strong>Augmented</strong> <strong>Reality</strong>(WRVA2008), 2008.
Research <strong>Interest</strong>s• 3D reconstruction from images– SfM and Real-time SfM
Research <strong>Interest</strong>s• <strong>Augmented</strong> and Virtual <strong>Reality</strong>, ComputerVision, Image Processing, Computer Graphics,Algorithms, C/C++ Programming...• C/C++, VXL, OpenCV, OpenGL, Matlab,ARToolkit, OGRE, Qt
Where?GRVM/UFPE:Francisco:www.cin.ufpe.br/~grvmwww.cin.ufpe.br/~fpmsGRVM/UFPESP-ASC
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