Ver el código de «Materiales para el curso de Percepción Artificial en el master de la Facultad de Informática UPV/EHU»

= 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]

== 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]

== 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]

== environmental sensing ==

*[http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1526904 operación Neptuno: sensorización oceánica]

== content based retrieval ==

* life-log retrieval [http://research.microsoft.com/en-us/um/people/jgemmell/carpe2004/CARPE2004-Aizawa.pdf]

== imagen medica ==

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

* 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=

== Image Processing ==

* [[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]


== 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=

* Matlab, Image Processing Toolbox
* Photoshop
* ImageJ [http://rsbweb.nih.gov/ij/]
* Scilab
* demo de algoritmos de clustering en java [http://www.ehu.es/ccwintco/groupware/index.php?menuaction=phpbrain.uikb.view_article&art_id=130]