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 76 ediciones intermedias de 3 usuarios) | |||
Línea 6: | Línea 6: | ||
* [http://www.cs.uwaterloo.ca/~mannr/cs886-w10/ Percepción e inferencia bayesiana, curso en la Univ. Waterloo] | * [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= | =Refencias de revistas y presentaciones= | ||
Línea 12: | Línea 14: | ||
* [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=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....] | * [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 == | == face detection and recognition == | ||
*[http://www.face-rec.org/ face recognition homepage] | |||
* detecting faces [http://courses.cs.tamu.edu/rgutier/cpsc689_s07/yang2002faceDetectionSurveySLIDES.pdf] | * [http://www.facedetection.com/ face detection homepage] | ||
* 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] | * 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] | ||
* 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] | * 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 == | == robotica general == | ||
Línea 28: | 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 == | |||
* 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 == | == 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 == | |||
* 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:// | * 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 41: | Línea 81: | ||
* curso SPM de 2008 [http://www.fil.ion.ucl.ac.uk/spm/course/slides08-zurich/ ] | * curso SPM de 2008 [http://www.fil.ion.ucl.ac.uk/spm/course/slides08-zurich/ ] | ||
* [[media:Presentacion-articulo-staal-2007.pdf| | * [[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 52: | Línea 102: | ||
== proceso de caras == | == 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=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=_KhP3O3GeYs deteccion de ojos con OpenCV] | ||
Línea 59: | Línea 110: | ||
* [http://www.youtube.com/watch?v=VK2N3PvaFcs&feature=related animaciones realistas de caras 3D] | * [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] | * [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 == | == reconocimiento de huellas == | ||
Línea 84: | 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 == | ||
* [http://www.youtube.com/watch?v=oDgr80cGwPQ DARPA Grand Challenge] | * [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=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 == | == narices electronicas == | ||
* [http://www.youtube.com/watch?v=oXpLdSjPkik narices electrónicas para la detección de cancer] | * [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 = | = Referencias de grupos de investigacion = | ||
Línea 104: | Línea 202: | ||
* [http://www.stanford.edu/class/ee368/Project_11/index.html Standford digital image processing final projects] | * [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 112: | 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
- Teoria de la información y cibernética
- un trabajo de 1975 reconstruccion 3D desde multiples vistas
- percepcion artificial en arrays adaptativos, 1980
- sensores naturales "no convencionales", los extraños sensores de otras especies....
- tutorial on random forests [2]
- A Bayesian framework for active artificial perception [3]
face detection and recognition
- face recognition homepage
- face detection homepage
- biometrics [4]
- detecting faces [5], recent advances (2004) [6], adaboost for face detection [7], face detection Viola [8], viola-jones [9], pose and light invariant [10]
- 3D detection applied to faces and cars [11]
- face detection and recognition [12], [13]
- face recognition [14], [15], PCA vs LDA [16], real time [17], dynamic face recognition 1999 [18]
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]
- ratones [27]
environmental sensing
- ice cube [28]
content based retrieval
- life-log retrieval [29]
monitorizacion del entorno
- seeing around corners [32]
imagen medica
- curso de FSL [33]
- 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
- face detection with OpenCV
- deteccion de caracteristicas de caras con OpenCV
- deteccion de ojos con OpenCV
- un sistema de reconocimiento de expresiones
- expresiones faciales desde el punto de vista sicologico
- descripcion de los elementos de las expresiones
- animaciones realistas de caras 3D
- aplicaciones comerciales de eye tracking
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
presentacion univ. Girona underwater
narices electronicas
human computer interaction
hand gesture recognition OpenCV