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)
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Línea 1: Línea 1:
= referencias generales =
* [http://www.britannica.com/EBchecked/topic/752433/artificial-perception enciclopedia Britannica]
* [http://en.wikipedia.org/wiki/Visual_perception#Artificial_visual_perception en wikipedia]
* [http://www.cs.uwaterloo.ca/~mannr/cs886-w10/ Percepción  e inferencia bayesiana, curso en la Univ. Waterloo]
* visual recognition, tutorial AAAI 08 [http://www.vision.ee.ethz.ch/~bleibe/teaching/tutorial-aaai08/]
=Refencias de revistas y presentaciones=
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5217173 Teoria de la información y cibernética]
* [http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=1672870&queryText%3D%28artificial+perception%29%26refinements%3D4294967131%26openedRefinements%3D*%26matchBoolean%3Dtrue%26searchField%3DSearch+All un trabajo de 1975 reconstruccion 3D desde multiples vistas]
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4308348 percepcion artificial en arrays adaptativos, 1980]
* [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]
* A Bayesian framework for active artificial perception [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6310070]
== face detection and recognition ==
*[http://www.face-rec.org/ face recognition homepage]
* [http://www.facedetection.com/ face detection homepage]
* biometrics [http://www.google.es/url?sa=t&rct=j&q=face%20detection%20ppt&source=web&cd=11&ved=0CB4QFjAAOAo&url=http%3A%2F%2Fclassweb.gmu.edu%2Fjgifford%2FBIOMETRICS.ppt&ei=MWinTpqxGYmZ8QOmg7mjDw&usg=AFQjCNFAtvmdGj_ErA5TRAcbnQqG4tvQIA&cad=rja]
* detecting faces [http://courses.cs.tamu.edu/rgutier/cpsc689_s07/yang2002faceDetectionSurveySLIDES.pdf], recent advances (2004) [http://vision.ai.uiuc.edu/mhyang/papers/icpr04_tutorial.pdf], adaboost for face detection [http://www.google.es/url?sa=t&rct=j&q=face%20detection%20ppt&source=web&cd=3&ved=0CDkQFjAC&url=http%3A%2F%2Fwww.cs.huji.ac.il%2Fcourse%2F2004%2Flearns%2FFaceDetection.ppt&ei=3WOnTpeCAdPB8QPbt43UDw&usg=AFQjCNHKmwHtDRRR-VsARUAOMOxbASE1mQ], face detection Viola [http://www.google.es/url?sa=t&rct=j&q=face%20detection%20ppt&source=web&cd=2&ved=0CC8QFjAB&url=http%3A%2F%2Fwww.cs.unc.edu%2F~lazebnik%2Fspring09%2Flec23_face_detection.ppt&ei=3WOnTpeCAdPB8QPbt43UDw&usg=AFQjCNHJ5q_jRt8YqXs5OaPQ-YD6YqqvRg], viola-jones [http://www.google.es/url?sa=t&rct=j&q=face%20detection%20ppt&source=web&cd=12&ved=0CCgQFjABOAo&url=http%3A%2F%2Fwww.ics.uci.edu%2F~smyth%2Fcourses%2Fcs175%2Fslides12_viola_jones_face_detection.ppt&ei=MWinTpqxGYmZ8QOmg7mjDw&usg=AFQjCNHpYTK_m9tRWibEEceKRHRsk-xmuw], pose and light invariant [http://www.biometrics.org/bc2004/Presentations/Conference/2%20Tuesday%20September%2021/Tue_Ballroom%20A/5%20TSWG/Ansari.pdf]
* 3D detection applied to faces and cars [http://www.cse.unr.edu/~bebis/CS679/PaperPresentations/schneiderman00.ppt]
* face detection and recognition [http://www.google.es/url?sa=t&rct=j&q=face%20detection%20ppt&source=web&cd=6&ved=0CFoQFjAF&url=http%3A%2F%2Fwww.cs.columbia.edu%2F~belhumeur%2Fcourses%2Fbiometrics%2F2010%2FFace%2520Detection%2520and%2520Recognition.ppt&ei=2GGnTvz7J4Ol8QOx89TeDw&usg=AFQjCNH-O5eCejESa1GaUK4_tPiBFZtmFQ], [http://www.google.es/url?sa=t&rct=j&q=face%20detection%20ppt&source=web&cd=1&ved=0CCUQFjAA&url=http%3A%2F%2Fwww.ee.pdx.edu%2F~mperkows%2FCLASS_479%2FBiometrics%2FFaceRecognition%2FIntroFaceDetectRecognition.ppt&ei=3WOnTpeCAdPB8QPbt43UDw&usg=AFQjCNHls-pb_d-lhmFoun8AXl19YyPhPg]
* face recognition [http://www.umiacs.umd.edu/~joseph/face-recognition.pdf], [http://www.google.es/url?sa=t&rct=j&q=face%20detection%20ppt&source=web&cd=7&ved=0CGAQFjAG&url=http%3A%2F%2Fwww.scourge.fr%2Fmathdesc%2Fdocuments%2Ffacerecog%2Ffinal.ppt&ei=2GGnTvz7J4Ol8QOx89TeDw&usg=AFQjCNH7rmVmML_FYbrBMFEPtI9JSBwS8A], PCA vs LDA [http://www.google.es/url?sa=t&rct=j&q=face%20detection%20ppt&source=web&cd=13&ved=0CDIQFjACOAo&url=http%3A%2F%2Fwww.cse.unr.edu%2F~bebis%2FCS790Q%2FLect%2FFR_PCA_LDA.ppt&ei=MWinTpqxGYmZ8QOmg7mjDw&usg=AFQjCNHZBXEM4aTycMA_keqJf-H3GFeFJg], real time [http://www.google.es/url?sa=t&rct=j&q=face%20detection%20ppt&source=web&cd=17&ved=0CFgQFjAGOAo&url=http%3A%2F%2Fwww.ee.pdx.edu%2F~mperkows%2FCLASS_479%2FBiometrics%2FFaceRecognition%2FRT-face-recognition.ppt&ei=MWinTpqxGYmZ8QOmg7mjDw&usg=AFQjCNEm-k184vGR6sfgSHb2m149iimYbA], dynamic face recognition 1999 [http://www.google.es/url?sa=t&rct=j&q=dynamic%20face%20recognition&source=web&cd=5&ved=0CFMQFjAE&url=http%3A%2F%2Fwww.ee.pdx.edu%2F~mperkows%2FCLASS_479%2FBiometrics%2FFaceRecognition%2FDynamic-face-recognition.ppt&ei=UG-xTqirL8rH8gPy6vHRAQ&usg=AFQjCNExAs_JkxAQX8l4Hp78YPUwrEyseQ]
== robotica general ==
* [http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=5520612&queryText%3D%28gulf+spill%29%26refinements%3D4294967131%26openedRefinements%3D*%26matchBoolean%3Dtrue%26searchField%3DSearch+All lecciones aprendidas del desparrame del golfo]
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4770229 una nueva raza de robots :)]
*[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.60.9968&rep=rep1&type=pdf una tesis sobre visual servoing en un robot amfibio]
* [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 ==
* CMU course introduction to optical flow [http://www.google.es/url?sa=t&rct=j&q=face%20tracking%20ppt&source=web&cd=8&ved=0CGMQFjAH&url=http%3A%2F%2Fwww.cs.cmu.edu%2Fafs%2Fcs%2Facademic%2Fclass%2F15385-s06%2Flectures%2Fppts%2Flec-16.ppt&ei=GEaxTon5FcK48gPxu5nOAQ&usg=AFQjCNHzTQ33kJfmWJUf1OppPLZr9YTsWw]
== tracking ==
* tracking motion, S. Thrun [http://www.google.es/url?sa=t&rct=j&q=tacking%20thrun%20ppt&source=web&cd=1&ved=0CB0QFjAA&url=http%3A%2F%2Frobots.stanford.edu%2Fcs223b07%2Fnotes%2FCS223B-L12-Tracking.ppt&ei=AlOxTvinJYXf8QOhkrSuAQ&usg=AFQjCNFgwv20W_DV9aDgyLCW7G2eenmRQw], [http://www.google.es/url?sa=t&rct=j&q=tacking%20thrun%20ppt&source=web&cd=2&ved=0CCMQFjAB&url=http%3A%2F%2Frobots.stanford.edu%2Fcs223b06%2Fnotes%2FCS%2520223-B%2520L11%2520Filters.ppt&ei=AlOxTvinJYXf8QOhkrSuAQ&usg=AFQjCNGiRAIXw7G4t4DAtZSZq5kYzM4euw], [http://www.google.es/url?sa=t&rct=j&q=tacking%20thrun%20ppt&source=web&cd=3&ved=0CCwQFjAC&url=http%3A%2F%2Frobots.stanford.edu%2Fcs223b05%2Fnotes%2FCS%2520223-B%2520L12%2520Filters.ppt&ei=AlOxTvinJYXf8QOhkrSuAQ&usg=AFQjCNEtTWZefCe1ezN9gvh-OJ7zW-fqog]
* particle filters [http://web.me.com/dellaert/07F-Vision/Schedule_files/11-ParticleFilters.ppt.pdf]
* [http://www.cs.unc.edu/~welch/kalman/ kalman filter]
* ratones [http://www.mousemotorlab.org/deeplabcut/]
== environmental sensing ==
*[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 ==
* 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 ==
* 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/]
* curso SPM de 2008 [http://www.fil.ion.ucl.ac.uk/spm/course/slides08-zurich/ ]
* [[media:Presentacion-articulo-staal-2007.pdf|  segmentacion de vasos en retina]]
* [[Media:On_dti_models_20110112.pdf | Slides sobre Modelos de difusión para imagen de tensor de difusión (DTI)]]
* [[Media:IntroMaster2012.pdf | Introduccion al Análisis de Imagenes Cerebrales]]
* [[Media:PracticaVBM.pdf | Voxel Based Morphometry]]
== finanzas ==
* trading at the speed of light [http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6027232]


=Videos=
=Videos=
Línea 5: Línea 98:


* [[2009-10-24-video-skeleton|Calculo del esqueleto con poda en tiempo real para interfaz gestual]]
* [[2009-10-24-video-skeleton|Calculo del esqueleto con poda en tiempo real para interfaz gestual]]
* [http://www.youtube.com/watch?v=fnquZgz9aVc ejercicios de optical flow detection]
== proceso de caras ==
* [http://www.youtube.com/watch?v=tj93NSIVkOs face detection with OpenCV]
* [http://www.youtube.com/watch?v=V7UdYzCMKvw deteccion de caracteristicas de caras con OpenCV]
* [http://www.youtube.com/watch?v=_KhP3O3GeYs deteccion de ojos con OpenCV]
* [http://www.youtube.com/watch?v=V25qu1xpJOc&feature=fvsr un sistema de reconocimiento de expresiones]
* [http://www.youtube.com/watch?v=5G6ZR5lJgTI&NR=1 expresiones faciales desde el punto de vista sicologico]
* [http://www.youtube.com/watch?v=TrgNKGjSyxA&NR=1&feature=fvwp descripcion de los elementos de las expresiones]
* [http://www.youtube.com/watch?v=VK2N3PvaFcs&feature=related animaciones realistas de caras 3D]
* [http://www.youtube.com/watch?v=lo_a2cfBUGc aplicaciones comerciales de eye tracking]
== tracking ==
* [http://www.youtube.com/watch?v=3gf8LXTQQWA hand tracking]
== reconocimiento de huellas ==
* [http://www.youtube.com/watch?v=Ry8920R7bxs elementos de reconocimiento de huellas]
* [http://www.youtube.com/watch?v=esbEHFEbUNI ejemplo de sistema de minucias]
* [http://www.youtube.com/watch?v=vob8Os8HHqA fantasmada 1]
* [http://www.youtube.com/watch?v=PHz05H89-Fs escaner de mano ¿?]
* [http://www.youtube.com/watch?v=cFFvMiPh6Ec fichar con la mano]
* [http://www.youtube.com/watch?v=4HRGEHcH8C0 faking fingerprints]
* [http://www.youtube.com/watch?v=-H71tyMupqk faking fingerprints 2]
== reconocimiento de iris ==
* [http://www.youtube.com/watch?v=QEQEht8zloQ demo de sistema de reconocimiento de iris]
* [http://www.youtube.com/watch?v=aQBl7hFVqOo demo de sistema 2]
* [http://www.youtube.com/watch?v=SBKS_OiBzP4 dicen que funciona en Heathrow ¿?]
== Mobile robotics ==
* [http://www.youtube.com/watch?v=oDgr80cGwPQ  DARPA Grand Challenge]
* [http://www.youtube.com/watch?v=TDqzyd7fDRc Sebastian THrun explicando como ganar el Grand Challenge]
* [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 ==
[http://www.youtube.com/watch?v=2eaGwk4Xhks demo CBIT 2003]
[http://www.youtube.com/watch?v=v4fBSbEqtSs&feature=related presentacion univ. Girona underwater]
== narices electronicas ==
* [http://www.youtube.com/watch?v=oXpLdSjPkik narices electrónicas para la detección de cancer]
== human computer interaction ==
[http://www.youtube.com/watch?v=B4dwu3si9x0 hand gesture recognition OpenCV]
[http://www.youtube.com/watch?v=os4wiUivXNw hands free 3d interface]
== content based image retrieval ==
* [http://www.youtube.com/watch?v=iWD0IyK9ddw demo de un sistema sencillo en matlab]
* [http://www.youtube.com/watch?v=2eaGwk4Xhks flexible image retrival based on image parts]
== Imagen Médica ==
* [http://www.youtube.com/watch?v=r5ODmPu9if8 Cell diffusion]
* [http://www.youtube.com/watch?v=H7QsDs8ZRMI Intro to diffusion]
* [http://www.youtube.com/watch?v=GCCCSWtaqJY Diffusion in brain tissues]
* [http://www.youtube.com/watch?v=PpoJQw4WSn8 Slideshow of a series of diffusion weighted images]
* [http://www.youtube.com/watch?v=6HZwCuN_P_0 Brain principal diffusion directions]
* [http://www.youtube.com/watch?v=8TAmyOAkCz8 Tractografía cerebral]
* [http://www.youtube.com/watch?v=TxlV50P6NEI The Human Connectome project]
= Referencias de grupos de investigacion =
* [http://www.apl.utoronto.ca/ Toronto]
* [http://www.cim.mcgill.ca/~apl/ McGill Univ.]
* [http://www.iai.csic.es/users/gpa/ CSIC Madrid]
* [http://www.perceptionlab.com/ St. Andrews Univ., Fyfe, Scotland]
* [http://www.stanford.edu/class/ee368/Project_11/index.html Standford digital image processing final projects]
* [http://www.cse.unr.edu/~bebis/CS679/ UNR course on pattern recognition]
* [http://www.lis.inpg.fr/pages_perso/herault/ Jeanny Herault, Grenoble]


= Recursos software=
= Recursos software=
Línea 12: Línea 213:
* ImageJ [http://rsbweb.nih.gov/ij/]
* ImageJ [http://rsbweb.nih.gov/ij/]
* 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]
* 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]