A. 1 Introduction (Raskar, 15 minutes)



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A.1 Introduction (Raskar, 15 minutes)



  1. Digital photography compared to film photography

Reviewed Pages (Good):



http://en.wikipedia.org/wiki/Digital_versus_film_photography

http://photography.about.com/od/filmvsdigital/Film_Photography_vs_Digital_Photography.htm

http://www.dpreview.com/reviews/ (Review of camera equipment in the market)

How Digital Cameras Work, http://www.bythom.com/ccds.htm

Digital Photography For What It's Worth, http://dpfwiw.com/exposure.htm

Digital Photography Fundamentals by Apple, http://manuals.info.apple.com/en/Aperture_Photography_Fundamentals.pdf


User pages:

http://www.dlcphoto.com/Digital%20vs%20Film.htm

http://www.adigitaldreamer.com/articles/digital-photography.htm

http://www.kriskrug.com/?p=273 (Why Digital photography is bad)

http://www.kenrockwell.com/tech/filmdig.htm (Good user comparison)


  1. Image formation

Reviewed:



www.howstuffworks.com/camera.htm

www.howstuffworks.com/digital-camera.htm

The Camera, http://graphics.cs.cmu.edu/courses/15-463/2005_fall/www/Lectures/camera.pdf

Image Processing, http://graphics.cs.cmu.edu/courses/15-463/2005_fall/www/Lectures/ImageProcessing.pdf

http://graphics.cs.cmu.edu/courses/15-463/2005_fall/www/Lectures/ImageProcessingFilter.pdf
Univs Courses:

http://robotics.stanford.edu/~birch/projective/node19.html

http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/OWENS/LECT1/node2.html

www.cfar.umd.edu/~lsd/426/image-formation.pdf

http://hyperphysics.phy-astr.gsu.edu/hbase/geoopt/imgfor.html

http://www.glenbrook.k12.il.us/gbssci/phys/mmedia/optics/ifpm.html

http://mplab.ucsd.edu/~marni/CSHL_Tutorials/CSHL_Tutorials.htm

Debevec and Malik, Recovering High Dynamic Range Radiance Maps from Photographs, SIGGRAPH 1997, http://www1.cs.columbia.edu/~belhumeur/compPhoto/debevec-siggraph97.pdf




  1. Image sensors

Reviewed/Expert:



http://en.wikipedia.org/wiki/Image_sensor

http://www.shortcourses.com/sensors/

http://www.beyondlogic.org/imaging/camera.htm
Univs Courses:

http://homepages.tig.com.au/~parsog/photo/sensors1.html
User/Naïve:

http://gizmodo.com/383170/giz-explains-digital-camera-image-sensors

  1. Optics

Reviewed/Expert:



http://en.wikipedia.org/wiki/Optics (Has more links)

http://en.wikipedia.org/wiki/4D_light_field#The_4D_light_field

http://www.lightandmatter.com/area1book5.html

http://www.play-hookey.com/optics/

http://www.optics2001.com/

Chapters 1 and 2 on Radiosity and Global Illumination, Morgan Kaufmann Publishers Inc. 1994

Geometrical Considerations and Nomenclature for Reflectance, Institute of Basic Standards, National Bureau of Standards, October 1977.

Levoy and Hanrahan, Light Field Rendering , SIGGRAPH, 1996, http://www1.cs.columbia.edu/~belhumeur/compPhoto/light-lores.pdf


Univ Courses:

http://www.mip.berkeley.edu/physics/bookedx.html

http://www.ece.umd.edu/~taylor/optics.htm (History of Optics)

A.2 Concepts in Computational Photography (Tumblin, 15 minutes)


  1. The ‘Photographic Signal’


www.merl.com/people/raskar/photo/Slides/01BasixcJTJuly31.ppt


  1. What is the ideal photograph?

Expert/Papers/Books



http://en.wikipedia.org/wiki/Photograph

www.merl.com/people/raskar/photo/Slides/01BasicJTJuly31.ppt

http://bjaesthetics.oxfordjournals.org/cgi/reprint/29/1/1.pdf

http://www.jstor.org/sici?sici=0093-1896(198121)7%3A3%3C577%3APAR%3E2.0.CO%3B2-B&cookieSet=1
Naïve users’ discussion

http://www.fotocommunity.com/forum/read.php?f=47&i=27&t=27

http://photo.net/bboard/q-and-a-fetch-msg?msg_id=00BxUh


  1. Ray-based versus pixel-based concepts

Expert/Papers



www.iongeo.com/content/released/GXT_FB03_WE_wkshp_review.pdf

http://mercury.tvu.ac.uk/pbi/

http://mercury.tvu.ac.uk/photoimaging

http://en.wikipedia.org/wiki/Ray_%28optics%29


  1. Understanding dimensionality of rays outside and inside the camera


http://en.wikipedia.org/wiki/4D_light_field#The_4D_light_field

http://astrophysics.gsfc.nasa.gov/cai/coded_intr.html

http://graphics.stanford.edu/projects/lightfield/

http://graphics.stanford.edu/talks/lightfields-UVa-oct05/lightfields-UVa-18oct05-san.ppt

http://graphics.stanford.edu/talks/ibr98-levoy/slides

The plenoptic function and the elements of early vision, http://www1.cs.columbia.edu/~belhumeur/compPhoto/adelson-bergen.pdf



A.3 Optics: Computable extensions (Raskar, 30 minutes)


  1. Wavefront coding

Expert/Reviewed/Papers/PPTs/Univs



http://en.wikipedia.org/wiki/Wavefront_coding (Has more links)

http://www.cdm-optics.com/?section=Tutorials

http://www.colorado.edu/isl/papers/edf/paper.html

http://citeseer.ist.psu.edu/284469.html

http://graphics.stanford.edu/courses/cs448a-06-winter/dowski-wavefront-coding-optics95.pdf

http://emfs1.eps.hw.ac.uk/~ceearh2/Optical%20designers'%20meet%20Sept06.6.ppt
News:

http://www.laserfocusworld.com/articles/article_display.html?id=197348


  1. Nonlinear optics

Expert/Reviewed/Papers/PPTs/Univs



http://en.wikipedia.org/wiki/Nonlinear_optics

http://phys.strath.ac.uk/12-370/

http://www.worldscibooks.com/physics/3648.html

www.icfo.es/images/publications/J03-027.pdf

www.physics.gatech.edu/gcuo/UltrafastOptics/3803/OpticsI23NonlinearOptics.ppt

http://www.optics.rochester.edu/workgroups/boyd/nonlinear.html


  1. Graded-index Optics


http://en.wikipedia.org/wiki/Gradient_index_optics

http://en.wikipedia.org/wiki/Graded-index_fiber

http://www.tpub.com/neets/tm/107-2.htm

http://www.britannica.com/eb/topic-240553/graded-index-fibre


  1. Folded optics


http://www.photonics.com/content/news/2007/January/31/86269.aspx


  1. Tombo Schlieren optics; extensions


http://www.fas.harvard.edu/~scidemos/LightOptics/SchleirenOptics/SchleirenOptics.html

http://en.wikipedia.org/wiki/Schlieren_photography

http://web.grinnell.edu/courses/Phy/s02/phy337-01/SchlierenandIndex.pdf

www.washington.edu/research/urp/symp/downloads/proceedings2006.pdf

Synthetic Schlieren http://www.damtp.cam.ac.uk/lab/people/sd103/papers/1999/jfm390.pdf





  1. Photonic Crystals and black silicon



Expert/ Reviewed/ Univ

http://en.wikipedia.org/wiki/Photonic_crystal

http://physicsworld.com/cws/article/print/530

http://ab-initio.mit.edu/photons/tutorial/

http://mazur-www.harvard.edu/research/detailspage.php?rowid=1

http://www.physorg.com/news70282948.html

http://www.photonics.com/content/spectra/2006/October/research/84590.aspx
Application

Color changing paint http://en.wikipedia.org/wiki/ChromaFlair


News:

http://www.hno.harvard.edu/gazette/1999/12.09/silicon.html

http://www.hno.harvard.edu/gazette/2001/10.11/01-silicon.html

This is an automated response:

I will be out of the office for a while, and will be unable to respond to your mail until June 14th. For urgent matters please contact my assistant Amna (amnac@media.mit).


  1. Negative index materials

Expert/ Reviewed/ Univ



www.iop.org/EJ/article/0034-4885/68/2/R06/rpp5_2_R06.pdf

http://physicsworld.com/cws/article/news/18434

http://en.wikipedia.org/wiki/Metamaterial

http://en.wikipedia.org/wiki/Refractive_index#Negative_Refractive_Index

http://www.ee.duke.edu/~drsmith/negative_index_about.htm
News:

http://physicsworld.com/cws/article/print/17398


  1. Mirage program Agile Spectrum Imaging


http://www.cs.northwestern.edu/~amohan/agile/

http://egdl1.cgv.tugraz.at/EG/CGF/volume27/issue2/v27i2pp709-717.pdf.abstract.pdf

http://www.blackwell-synergy.com/doi/abs/10.1111/j.1467-8659.2008.01169.x


  1. Random-lens Imaging (Torralba)


http://dspace.mit.edu/bitstream/1721.1/33962/2/MIT-CSAIL-TR-2006-058.pdf

http://hdl.handle.net/1721.1/33962

Dappled photography: mask enhanced cameras for heterodyned light fields and coded aperture refocusing http://portal.acm.org/citation.cfm?id=1276463


  1. What can we learn from animal eyes?


http://www.msnbc.msn.com/id/10075854/
A.4 Sensor Innovations (Tumblin, 30 minutes)


  1. Trends in sensor pixel pitch (now ~1.9 micron)


www.mapps.org/SupportingFiles/documents/Sensor_Panel_Southard.ppt

www.slac.stanford.edu/econf/C020909/efslide.pdf

http://arxiv.org/pdf/physics/0401030

www.ifp.uni-stuttgart.de/publications/phowo07/090Burghartz.pdf

http://www.clarkvision.com/imagedetail/digital.sensor.performance.summary/


  1. Resolution vs. noise issues

Noise, http://www.ph.tn.tudelft.nl/Courses/FIP/noframes/fip-_Noise.html



http://jnm.snmjournals.org/cgi/content/abstract/45/9/1519

http://www.clarkvision.com/imagedetail/

http://jmicro.oxfordjournals.org/cgi/content/full/dfm007v1

http://www.kenrockwell.com/tech/dslr-comparison/resolution.htm


  1. Assorted pixels and de-mosaicking


http://groups.csail.mit.edu/graphics/classes/CompPhoto06/html/lecturenotes/futureMay112006.ppt

Assorted pixels: multi-sampled imaging with structural models, http://portal.acm.org/citation.cfm?id=1198563



http://www1.cs.columbia.edu/CAVE/projects/hdr_ap/hdr_ap.php

www.csie.ntu.edu.tw/~cyy/courses/vfx/06spring/lectures/handouts/lec03_hdr.ppt

http://en.wikipedia.org/wiki/Demosaicing

Virtual bellows: constructing high-quality images from video, http://www.eyetap.org/papers/docs/mann94virtual.pdf

Video orbits of the projective group a simple approach to featureless estimation of parameters, IEEE Transactions on Image Processing, http://www.eyetap.org/papers/docs/video_orbits.pdf

Creating full view panoramic image mosaics and environment maps, Proc. ACM Siggraph, ACM Press, http://portal.acm.org/citation.cfm?id=258861&dl=GUIDE&coll=GUIDE




  1. Hi-resolution Streaming cameras


http://imsc.usc.edu/research/project/recorder/recorder_nsf8.pdf


  1. Thermal sensors and benefits of thermal imaging


http://en.wikipedia.org/wiki/Thermography

http://www.maxmax.com/ThermalCamerasDifferences.htm

www.igcar.ernet.in/events/inde2007/INDE%20presentations/J.Govindarajan-Fusion_IPR.pdf

http://www.machinemonitoring.co.uk/thermal.htm


  1. Millimeter wave sensors, 3D sensors: Canesta, Zcam


http://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/19910004366_1991004366.pdf

http://www.venchar.com/2005/04/millimeterwave_.html

http://repositories.tdl.org/handle/1969.1/3134

www.cs.northwestern.edu/~jet/docs/EG2006STAR_CompPhotog.pdf

www.merl.com/people/raskar/photo/course/NEU05/Lectures/13LectureDec7Web.ppt

http://www.physorg.com/news775.html

http://www.dvhardware.net/article25457.html



  1. Single-Photon Detectors


http://qubit.nist.gov/qiset-PDF/Nam.QISET2004.pdf

http://www.toshiba-europe.com/research/crl/qig/singlephotondetection.html

http://physics.nist.gov/Divisions/Div844/events/ARDAworkshop/2003/Albota_NIST_workshop.pdf

http://www.sciencedaily.com/releases/2003/08/030813070545.htm

http://physics.nist.gov/Divisions/Div844/events/ARDAworkshop/agenda.html


  1. Penrose Tiles as pixels (Ben-Ezra)

Penrose Pixels Super-Resolution in the Detector Layout Domain, http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=4408819&arnumber=4408888&count=400&index=68



http://www.math.ucla.edu/~jimc/mathnet_d/penrose.html


  1. Compressed Sensing

Compressed Sensing Group, Kelly Lab, Rice University, http://www.dsp.ece.rice.edu/cs/



http://www-stat.stanford.edu/~donoho/Reports/2004/CompressedSensing091604.pdf

http://users.ece.gatech.edu/~justin/ssp2007/ssp07-cs-tutorial.pdf

http://www.dsp.ece.rice.edu/cs/

http://terrytao.wordpress.com/2007/04/13/compressed-sensing-and-single-pixel-cameras/

B.1 Illumination as Computing (Debevec, 25 minutes)


  1. Light stages,




  1. Structured light for shape, reflectance, and more.




  1. Coherent light advantages/problems;




  1. Femtosecond light sources & detection;




  1. Direct/indirect separations,




  1. Diffuse/specular separations,




  1. Glare: Sensing, Compensation, and Control




  1. True light-field displays (360’ LF display),




  1. Pico-projectors; what is newly possible?


B.2 Scene & Performance Capture (Debevec 20 minutes)


  1. Gradient illumination methods




  1. High-speed hybrids for real-time markerless performance capture;




  1. Visible and invisible markers: UV sensitive dye, etc.




  1. Tradeoffs: measurement time/cost/resolution/flexibility;


B 3. Image Aggregation & Sensible Extensions (Tumblin 20 minutes)


  1. Merging uncalibrated cameras


Research Papers:

Singular value decomposition based image matching, http://ieeexplore.ieee.org/Xplore/login.jsp?url=/iel5/9682/30566/01410418.pdf?arnumber=1410418

Uncalibrated Stereo Correspondence by Singular Value Decomposition, http://www.bmva.ac.uk/bmvc/1997/papers/081/index.html, http://www.hpl.hp.com/techreports/97/HPL-97-96.pdf

Multiple Motion Scene Reconstruction with Uncalibrated Cameras (Book Chapter), http://www.springerlink.com/content/yu001q1l7v47101x/

Stereo from Uncalibrated Cameras, http://axiom.anu.edu.au/~hartley/Papers/cvpr92/final.pdf

Rectification on Uncalibrated Epipolar Stereo Images and Dense Disparity Map, http://www.actapress.com/PaperInfo.aspx?PaperID=30943&reason=500

Arbitrary viewpoint video synthesis from multiple uncalibrated cameras, http://ieeexplore.ieee.org/Xplore/login.jsp?url=/iel5/3477/28229/01262515.pdf?arnumber=1262515

Image Registration with Uncalibrated Cameras in Hybrid Vision Systems, http://ieeexplore.ieee.org/Xplore/login.jsp?url=/iel5/4129446/4129447/04129513.pdf?arnumber=4129513

Multiple Motion Scene Reconstruction with Uncalibrated Cameras, http://portal.acm.org/citation.cfm?id=858863.859022
Recent applications (papers):

3D Intrusion Detection System with Uncalibrated Multiple Cameras, ACCV 2007

Quasi-Perspective Projection with Applications to 3D Factorization from Uncalibrated Image Sequences, CVPR 2008

Autocalibration and Uncalibrated Reconstruction of Shape from Defocus, CVPR 2007, http://www.math.ucla.edu/~yflou/paper1752.pdf




  1. Photo Tourism


Research papers:

Photo Tourism, the Idea, http://phototour.cs.washington.edu/

Photo Tourism: Exploring Photo Collections in 3D, http://phototour.cs.washington.edu/Photo_Tourism.pdf

Photo Tourism: Still Photography in Motion, http://research.microsoft.com/displayArticle.aspx?id=1514

Finding Paths through the World's Photos, http://www.cs.washington.edu/homes/snavely/

Hiroya Tanaka, PhotoWalker, http://www.photowalker.net/


Naïve:

YouTube-ism on Photo Tourism, www.youtube.com/watch?v=IgBQCoEfiMs




  1. Knowledge from Web-cam aggregates (Robert Pleiss)

No sensible links to papers. Robert Pleiss D.N.E?




  1. Generalized Dynamic Stitching methods for mismatched viewpoints

Feature-Based Automatic Alignment, http://graphics.cs.cmu.edu/courses/15-463/2005_fall/www/Lectures/feature-alignment.pdf

Multi-Image Matching using Multi-Scale Oriented Patches, CVPR 2005, http://graphics.cs.cmu.edu/courses/15-463/2005_fall/www/Papers/MOPS.pdf

Feature Matching and RANSAC, http://graphics.cs.cmu.edu/courses/15-463/2005_fall/www/Lectures/RANSAC.pdf

RANSAC, http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/FISHER/RANSAC/

Recognizing Panoramas, ICCV 2003, http://graphics.cs.cmu.edu/courses/15-463/2005_fall/www/Papers/BrownLowe.pdf



http://en.wikipedia.org/wiki/Image_stitching

Szeliski, Image Alignment and Stitching: A Tutorial, http://pages.cs.wisc.edu/~dyer/ai-qual/szeliski-tr06.pdf

Heckbert, Projection Mappings for Image Warping. Berkeley Master Thesis, 1989, http://pages.cs.wisc.edu/~dyer/cs766/readings/heckbert-proj.pdf

M. Brown and D. G. Lowe, Recognising Panoramas. ICCV 2003, http://portal.acm.org/citation.cfm?id=946772

Photographing Long Scenes with Multi-Viewpoint Panoramas, 2006, http://grail.cs.washington.edu/projects/multipano/

Image alignment and stitching, http://graphics.cs.cmu.edu/courses/15-463/2004_fall/www/Papers/MSR-TR-2004-92-Sep27.pdf

Autostitch (UBC), http://www.cs.ubc.ca/%7Embrown/autostitch/autostitch.html


  1. Learning with databases

Research papers:

Active Learning in Very Large Databases, http://mmdb2.ece.ucsb.edu/~echang/mtap.pdf

Active concept learning in image databases, http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=1430830

Active Concept Learning for Image Retrieval in Dynamic Databases, http://portal.acm.org/citation.cfm?id=946659


  1. Pop-up 3D re-lighting

Research papers:

Automatic Photo Pop-up', Transactions on Graphics (SIGGRAPH 05), www.cs.uiuc.edu/homes/dhoiem/publications/popup.pdf

Project website, http://www.cs.cmu.edu/People/dhoiem/projects/popup/index.html

Technical sketch on 3D relighting, http://vision.ai.uiuc.edu/~wanghc/

Lighting-Sensitive Displays, ACM TOG, 2003, http://www.columbia.edu/cu/news/01/09/shreeNayar_link.html

Rendering Synthetic Objects into Real Scenes: Bridging Traditional and Image-Based Graphics with Global Illumination and High Dynamic Range Photography, SIGGRAPH,1998, http://debevec.org/Research/IBL/debevec-siggraph98.pdf

Acquiring the Reflectance Field of a Human Face, SIGGRAPH, 2000, http://www1.cs.columbia.edu/~belhumeur/compPhoto/debevec-siggraph2000-high.pdf

Nishino and Nayar, Eyes for Relighting, SIGGRAPH 2004, http://www1.cs.columbia.edu/~belhumeur/compPhoto/Nishino_TOG04.pdf

Interactive Relighting Tool from HP, http://www.hp.com/idealab/us/en/relight.html

Image-Based Lighting, Image-Based Lighting, http://graphics.cs.cmu.edu/courses/15-463/2005_fall/www/Lectures/IBLightingII.pdf

http://www.debevec.org/

Rendering Synthetic Objects in Real Scenes, 1998, http://www.debevec.org/Research/IBL/


Youtube-ism

Automatic Photo Pop-up, www.youtube.com/watch?v=PulpuyVx3lk




  1. Face detection for auto-focus, auto-exposure,

Research papers:

Viola and Jones, Robust Real-time Face Detection, IJCV, 2004

V. Blanz and T. Vetter, A Morphable Model for the Synthesis of 3D Faces, SIGGRAPH, 1999, http://www1.cs.columbia.edu/~belhumeur/compPhoto/blanz-vetter99.pdf

Reviewed/Expert

http://en.wikipedia.org/wiki/Face_detection

http://www.macworld.com/article/132567/2008/03/digitalphoto2504.html

http://www.canon.com/technology/canon_tech/explanation/face.html

http://www.faqs.org/contrib/jj2/Digital-camera-auto-exposure-and-auto-focus.html
Naïve:

http://www.digicamhelp.com/camera-features/shooting-modes/face-detection.php

http://www.youtube.com/watch?v=g5OxP1R_KsQ


  1. Smile detection (Sony),

Reviewed/Expert



http://www.usatoday.com/tech/columnist/edwardbaig/2007-10-03-sony-cybershot-dsc-t200_N.htm

YouTube - Sony DSC-W170 with Smile Detection, www.youtube.com/watch?v=3fFUMoX9vk8, www.youtube.com/watch?v=_zBrbaqsnZ0



http://computers.families.com/blog/smile-detection-technology


  1. Thinning Camera (HP)

HP Official Demo:



http://www.hp.com/united-states/consumer/digital_photography/tours/slimming/index.html
Naïve:

http://www.popphoto.com/blogsandcolumns/2321/the-mcnamara-report-thin-is-in.html


  1. Seam Carving (MERL)

Research papers:

Seam Carving for Content-Aware Image Resizing, http://www.faculty.idc.ac.il/arik/

MERL report TR2007-087, http://www.merl.com/publications/TR2007-087/, http://www.merl.com/projects/mediaretargeting/


B.4 Community and Social Impact (Raskar, 20 minutes)


  1. CMU's captcha-like games for object recognition

Reviewed/Expert:



http://en.wikipedia.org/wiki/Captcha (points to more interesting links)

Advanced Collage CAPTCHA, http://www.hip.ir/projects/projects_en.html


News:

Games with a Purpose Help with Tasks That Tax Computers, http://it.slashdot.org/article.pl?sid=07/10/02/1224204&tid=172, http://news.slashdot.org/article.pl?sid=08/05/14/1949217, http://news.bbc.co.uk/1/hi/technology/7023627.stm



http://slashdot.org/article.pl?sid=07/05/24/2148217&tid=95

http://news.bbc.co.uk/1/hi/technology/7023627.stm

http://www.networkworld.com/community/?q=node/15522


  1. Google Earth problems

Google’s official 3D Warehouse Problem statements, http://www.google.com/intl/en/sketchup/3dwh/acceptance_criteria.html

National security and privacy issues, http://en.wikipedia.org/wiki/Google_Earth

Why is Google Earth image blurrier than Google Maps image? http://groups.google.com/group/earth-data/browse_thread/thread/29e28d81441b0354

Immersive Hotdog Problem, http://geosquan.wordpress.com/2007/12/30/can-you-solve-the-immersive-hotdog-problem/


  1. From street maps to street-level photos to 3D models

Google Street View, http://maps.google.com/help/maps/streetview/

Wikipedia on Live Search Maps, http://en.wikipedia.org/wiki/Live_Search_Maps

http://3dwalkthroughs.wordpress.com/2007/05/30/google-maps-takes-3d-photos-down-to-street-level/

Europe in 3D?, http://news.cnet.com/8301-10784_3-9924711-7.html

Disney world in 3D? http://www.gearthblog.com/blog/archives/3d_models/

Google’s official 3D Warehouse Problem statements, http://www.google.com/intl/en/sketchup/3dwh/acceptance_criteria.html

Modeling and Rendering Architecture from Photographs:A hybrid geometry-and image-based approach, SIGGRAPH 1996, http://www1.cs.columbia.edu/~belhumeur/compPhoto/debevec-siggraph96-paper.pdf

3D from two and more views, http://graphics.cs.cmu.edu/courses/15-463/2005_fall/www/Lectures/stereo.pdf




  1. Is loss of privacy unavoidable?

Measuring Privacy Loss and the Impact of Privacy Protection in Web Browsing, http://cups.cs.cmu.edu/soups/2007/proceedings/p52_krishnamurthy.pdf



http://gizmodo.com/gadgets/privacy/blur-reflective-spray-makes-you-unphotographable-264797.php

Privacy, Technology, and the California "Anti-Paparazzi" Statute, http://www.jstor.org/pss/1342388

The Anti-Paparazzi Flash, http://www.nytimes.com/2005/12/11/magazine/11ideas1-3.html

The Anti-Paparazzi Flash, http://www.summet.com/projects.html

YouTube-ism, www.youtube.com/watch?v=KHd0E4PTwjY


  1. How can we compute a better result? (Shai Avidan’s work, etc.)

Reference not clear




  1. User inputs

Reference not clear. Guess –Camera as an user input device OR is it User input during post processing of images?

The Video Mouse, http://citeseer.ist.psu.edu/301249.html

Camera-Based Virtual Environment Interaction on Mobile Devices, http://research.nokia.com/files/Mobile-Interaction-CameraReady.pdf

3D Input Interface via Hand Motion Using Stereo Camera System for Wearable PC Environment, www.hvrl.ics.keio.ac.jp/paper/pdf/hori_mva2002.pdf

A Camera-Based Input Device for Large Interactive Displays, http://doi.ieeecomputersociety.org/10.1109/MCG.2005.72


  1. Applied 3D pose/motion capture

Real-Time and Markerless 3D Human Motion Capture Using Multiple Views, www.springerlink.com/index/gh78788604873638.pdf

Video Motion Capture, www.debevec.org/IBMR99/75paper.pdf

Markerless Motion Capture from Single or Multi-Camera Video Sequence, www.photogrammetry.ethz.ch/general/persons/fabio/captech04.pdf

Reconstructing 3D Pose and Motion from a Single Camera View, http://personal.ee.surrey.ac.uk/Personal/R.Bowden/publications/bmvc98/p114.pdf

Motion Magnification, SIGGRAPH 2005





  1. Cell-phone Mouse


http://slashdot.org/article.pl?sid=04/05/27/1849209

http://www.pcworld.com/article/id,141478/article.html

http://hackedgadgets.com/2006/08/15/nokia-cell-phone-mouse/

http://www.phoneyworld.com/newspage.aspx?n=1749

http://blogs.zdnet.com/emergingtech/?p=808


  1. Collision Avoidance devices

Introduction to Traffic Alert/Collision Avoidance System, http://www.allstar.fiu.edu/AERO/TCAS.htm

Development of a Collision Avoidance System, http://vehicle.me.berkeley.edu/Publications/AVC/pseil_sae98.pdf

Collision Avoidance System Using Laser Beams, http://pixel.otago.ac.nz/ipapers/36.pdf

Patent -Gamma camera collision avoidance, www.freepatentsonline.com/6927395.html

Vision Based Target Tracking and Collision Avoidance for Mobile Robots, http://portal.acm.org/citation.cfm?id=1227722.1227733&coll=GUIDE&dl=GUIDE




  1. Actively helpful illuminators

Reference not clear. Guess.


Real-Time Multiple Face Detection Using Active Illumination, http://ieeexplore.ieee.org/iel5/6770/18088/00840605.pdf

Illuminating Illumination, http://white.stanford.edu/~brian/papers/pdc/cic9.pdf




  1. Contrast enhancing lamps (agile spectrum)

Agile Spectrum Imaging: Programmable Wavelength Modulation for Cameras and Projectors, http://www.blackwell-synergy.com/doi/abs/10.1111/j.1467-8659.2008.01169.x



Animal Eyes
B.5. Summary and Discussion (All, 10 minutes)
New/next questions
New/next tools
Future trends
Advanced concepts
What’s coming?
What’s next?

Topics not covered:


  1. Film cameras




  1. Optical design




  1. Traditional image processing




  1. Image based rendering (IBR) and novel view synthesis




  1. Hardware technologies for lighting




  1. Projector-camera systems




  1. Geometric calibration and photometric calibration techniques




  1. Compression




  1. Storage


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