Diferencia entre revisiones de «Materiales para el curso de Percepción Artificial en el master de la Facultad de Informática UPV/EHU»

De Grupo de Inteligencia Computacional (GIC)
 
(No se muestran 21 ediciones intermedias del mismo usuario)
Línea 15: Línea 15:
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=485770 sensores naturales "no convencionales", los extraños sensores de otras especies....]
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=485770 sensores naturales "no convencionales", los extraños sensores de otras especies....]
* tutorial on random forests [http://research.microsoft.com/en-us/groups/vision/decisionforests.aspx]
* tutorial on random forests [http://research.microsoft.com/en-us/groups/vision/decisionforests.aspx]
 
* A Bayesian framework for active artificial perception [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6310070]
== face detection and recognition ==
== face detection and recognition ==
*[http://www.face-rec.org/ face recognition homepage]
*[http://www.face-rec.org/ face recognition homepage]
Línea 34: Línea 34:


* [http://spectrum.ieee.org/automaton/robotics/artificial-intelligence/how-google-self-driving-car-works como funciona el coche de google]
* [http://spectrum.ieee.org/automaton/robotics/artificial-intelligence/how-google-self-driving-car-works como funciona el coche de google]
* pagina de proyectos abiertos de SLAM [http://openslam.org/]
* SLAM Summer School 2006 [http://www.robots.ox.ac.uk/~SSS06/Website/index.html]
*SLAM curso de Cyrill Stachniss [http://ais.informatik.uni-freiburg.de/teaching/ws13/mapping/]
* http://bair.berkeley.edu/blog/2017/06/27/dexnet-2.0/


== optical flow ==
== optical flow ==
Línea 46: Línea 54:


* [http://www.cs.unc.edu/~welch/kalman/ kalman filter]
* [http://www.cs.unc.edu/~welch/kalman/ kalman filter]
* ratones [http://www.mousemotorlab.org/deeplabcut/]


== environmental sensing ==
== environmental sensing ==


*[http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1526904 operación Neptuno: sensorización oceánica]
*[http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1526904 operación Neptuno: sensorización oceánica]
* ice cube [https://spectrum.ieee.org/tech-talk/aerospace/astrophysics/the-icecube-neutrino-detector-at-the-south-pole-hits-paydirt]


== content based retrieval ==
== content based retrieval ==


* life-log retrieval [http://research.microsoft.com/en-us/um/people/jgemmell/carpe2004/CARPE2004-Aizawa.pdf]
* life-log retrieval [http://research.microsoft.com/en-us/um/people/jgemmell/carpe2004/CARPE2004-Aizawa.pdf]
* learning everything from anything [http://levan.cs.washington.edu/], [http://levan.cs.washington.edu/ngrams/ngrams_web.pdf]
== monitorizacion del entorno ==
* seeing around corners [https://spectrum.ieee.org/tech-talk/consumer-electronics/audiovideo/mit-shows-how-smartphones-could-peek-around-corners]


== imagen medica ==
== imagen medica ==


* [http://www.fmrib.ox.ac.uk/Members/karla/lectures-and-teaching-material Teaching material Karla Miller from fMRIB Univ. Oxford]
* curso de FSL [http://fsl.fmrib.ox.ac.uk/fslcourse/]


* un prezi de MRI y fMRI [http://prezi.com/goiorwi3w-bl/quick-intro-to-mri-and-fmri/]
* un prezi de MRI y fMRI [http://prezi.com/goiorwi3w-bl/quick-intro-to-mri-and-fmri/]
Línea 121: Línea 139:
* [http://www.youtube.com/watch?v=SBKS_OiBzP4 dicen que funciona en Heathrow ¿?]
* [http://www.youtube.com/watch?v=SBKS_OiBzP4 dicen que funciona en Heathrow ¿?]


== MObile robotics ==
== Mobile robotics ==


* [http://www.youtube.com/watch?v=oDgr80cGwPQ  DARPA Grand Challenge]
* [http://www.youtube.com/watch?v=oDgr80cGwPQ  DARPA Grand Challenge]
Línea 128: Línea 146:
* [http://www.youtube.com/watch?v=I_ZjnfBKqoI pedestrian detection]
* [http://www.youtube.com/watch?v=I_ZjnfBKqoI pedestrian detection]


* un helicoptero haciendo SLAM [http://techtv.mit.edu/videos/4149-indoor-autonomous-helicopter]
* un curso de SLAM [http://www.youtube.com/watch?v=V9qQc5X7O0k]
* coleccion de videos de SLAM de Freiburg university [http://www.youtube.com/watch?v=NUtMBog7gDI&list=PLC02EB07AE2E1DB06]


== structure from motion ==
== structure from motion ==
Línea 191: Línea 214:
* Scilab
* Scilab
* demo de algoritmos de clustering en java [http://www.ehu.es/ccwintco/groupware/index.php?menuaction=phpbrain.uikb.view_article&art_id=130]
* demo de algoritmos de clustering en java [http://www.ehu.es/ccwintco/groupware/index.php?menuaction=phpbrain.uikb.view_article&art_id=130]
* recursos en R para neuroimagen [http://johnmuschelli.com/Neuroimaging_in_R/index.html#1] [http://johnmuschelli.com/neuroc_talk/Pitt_Stats_in_Imaging.html#1]
* proceso de imagenes de patologia celular [https://github.com/qupath/qupath/blob/master/README.md]
* calibracion multicamara [http://cmp.felk.cvut.cz/~svoboda/SelfCal/]
* software y datos multispectrales HYDICE [https://www.erdc.usace.army.mil/Media/Fact-Sheets/Fact-Sheet-Article-View/Article/610433/hypercube/]

Revisión actual - 12:40 8 oct 2018

referencias generales

  • visual recognition, tutorial AAAI 08 [1]

Refencias de revistas y presentaciones

face detection and recognition

robotica general

  • pagina de proyectos abiertos de SLAM [19]
  • SLAM Summer School 2006 [20]
  • SLAM curso de Cyrill Stachniss [21]

optical flow

  • CMU course introduction to optical flow [22]

tracking

  • particle filters [26]

environmental sensing

content based retrieval

  • life-log retrieval [29]
  • learning everything from anything [30], [31]

monitorizacion del entorno

  • seeing around corners [32]

imagen medica

  • un prezi de MRI y fMRI [34]
  • curso SPM de 2008 [35]

finanzas

  • trading at the speed of light [36]

Videos

Image Processing

proceso de caras

tracking

reconocimiento de huellas

reconocimiento de iris

Mobile robotics

  • un helicoptero haciendo SLAM [37]
  • un curso de SLAM [38]
  • coleccion de videos de SLAM de Freiburg university [39]

structure from motion

demo CBIT 2003

presentacion univ. Girona underwater

narices electronicas

human computer interaction

hand gesture recognition OpenCV

hands free 3d interface

content based image retrieval

Imagen Médica

Referencias de grupos de investigacion

Recursos software

  • Matlab, Image Processing Toolbox
  • Photoshop
  • ImageJ [40]
  • Scilab
  • demo de algoritmos de clustering en java [41]
  • recursos en R para neuroimagen [42] [43]
  • proceso de imagenes de patologia celular [44]
  • calibracion multicamara [45]
  • software y datos multispectrales HYDICE [46]