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vision algorithm.
TEST PATTERN Nº 1
Dec. 2013 Test Pattern Nº 1. Title: test-pattern-01 Created Date: 12/15/2013 1:27:18 PM CV DAZZLE: COMPUTER VISION DAZZLE CAMOUFLAGE CV Dazzle explores how fashion can be used as camouflage from face-detection technology, the first step in automated face recognition. It is a concept and strategy, not a pattern or product, and it is always designed relative to a specific algorithm and unique to each face. CV Dazzle, as a concept, can be applied to any computervision algorithm.
TEST PATTERN Nº 1
Dec. 2013 Test Pattern Nº 1. Title: test-pattern-01 Created Date: 12/15/2013 1:27:18 PM CV DAZZLE: COMPUTER VISION DAZZLE CAMOUFLAGE CV Dazzle explores how fashion can be used as camouflage from face-detection technology, the first step in automated face recognition. It is a concept and strategy, not a pattern or product, and it is always designed relative to a specific algorithm and unique to each face. CV Dazzle, as a concept, can be applied to any computervision algorithm.
TEST PATTERN Nº 1
Dec. 2013 Test Pattern Nº 1. Title: test-pattern-01 Created Date: 12/15/2013 1:27:18 PM CV DAZZLE: COMPUTER VISION DAZZLE CAMOUFLAGE CV Dazzle explores how fashion can be used as camouflage from face-detection technology, the first step in automated face recognition. It is a concept and strategy, not a pattern or product, and it is always designed relative to a specific algorithm and unique to each face. CV Dazzle, as a concept, can be applied to any computervision algorithm.
TEST PATTERN Nº 1
Dec. 2013 Test Pattern Nº 1. Title: test-pattern-01 Created Date: 12/15/2013 1:27:18 PM CV DAZZLE: COMPUTER VISION DAZZLE CAMOUFLAGE CV Dazzle explores how fashion can be used as camouflage from face-detection technology, the first step in automated face recognition. It is a concept and strategy, not a pattern or product, and it is always designed relative to a specific algorithm and unique to each face. CV Dazzle, as a concept, can be applied to any computervision algorithm.
TEST PATTERN Nº 1
Dec. 2013 Test Pattern Nº 1. Title: test-pattern-01 Created Date: 12/15/2013 1:27:18 PM CV DAZZLE: COMPUTER VISION DAZZLE CAMOUFLAGE CV Dazzle explores how fashion can be used as camouflage from face-detection technology, the first step in automated face recognition. It is a concept and strategy, not a pattern or product, and it is always designed relative to a specific algorithm and unique to each face. CV Dazzle, as a concept, can be applied to any computervision algorithm.
TEST PATTERN Nº 1
Dec. 2013 Test Pattern Nº 1. Title: test-pattern-01 Created Date: 12/15/2013 1:27:18 PM CV DAZZLE: COMPUTER VISION DAZZLE CAMOUFLAGE CV Dazzle explores how fashion can be used as camouflage from face-detection technology, the first step in automated face recognition. It is a concept and strategy, not a pattern or product, and it is always designed relative to a specific algorithm and unique to each face. CV Dazzle, as a concept, can be applied to any computervision algorithm.
TEST PATTERN Nº 1
Dec. 2013 Test Pattern Nº 1. Title: test-pattern-01 Created Date: 12/15/2013 1:27:18 PM CV DAZZLE: COMPUTER VISION DAZZLE CAMOUFLAGE CV Dazzle explores how fashion can be used as camouflage from face-detection technology, the first step in automated face recognition. It is a concept and strategy, not a pattern or product, and it is always designed relative to a specific algorithm and unique to each face. CV Dazzle, as a concept, can be applied to any computervision algorithm.
TEST PATTERN Nº 1
Dec. 2013 Test Pattern Nº 1. Title: test-pattern-01 Created Date: 12/15/2013 1:27:18 PM CV DAZZLE: COMPUTER VISION DAZZLE CAMOUFLAGE CV Dazzle explores how fashion can be used as camouflage from face-detection technology, the first step in automated face recognition. It is a concept and strategy, not a pattern or product, and it is always designed relative to a specific algorithm and unique to each face. CV Dazzle, as a concept, can be applied to any computervision algorithm.
TEST PATTERN Nº 1
Dec. 2013 Test Pattern Nº 1. Title: test-pattern-01 Created Date: 12/15/2013 1:27:18 PMAug 22, 2017
An open source face detection toolkit is being developed to evaluate looks using haar, dlib, ssd, and yolo face detectors. In the meantime, everything here is designed for the OpenCV haarcascade face detection algorithm* Looks
* Style Tips
* Related Projects
* Collaborations
* Press
* References
* Contact
All content © Adam Harvey 2010 - 2017 / @adamhrvNEW LOOKS
by Coreana Museum of Art + Soobin Academy + G-square Model AcademyANTI FACE
This face is unrecognizable to several state-of-art face detectionalgorithms.
------------------------- CAMOUFLAGE FROM FACE DETECTION. CV Dazzle explores how fashion can be used as camouflage from face-detection technology, the first step in automated facerecognition.
The name is derived from a type of World War I naval camouflage called Dazzle, which used cubist-inspired designs to break apart the visual continuity of a battleship and conceal its orientation and size. Likewise, CV Dazzle uses avant-garde hairstyling and makeup designs to break apart the continuity of a face. Since facial-recognition algorithms rely on the identification and spatial relationship of key facial features, like symmetry and tonal contours, one can block detection by creating an “anti-face”. > From all appearances, deception has always been critical to daily > survival—for human and non-human creatures alike—and, judging by > its current ubiquity, there is no end in immediate sight > Roy Behrens, Camoupedia -------------------------LOOK BOOK
CV Dazzle Look Book 2010 - presentLook N° 5 (a)
* For New York Times Op-Art* Model: Bre Bitz
* Hair: Pia Vivas
* Makeup: Giana DeYoung * Assistant Creative Direction: Tiam TaheriLook N° 5 (b)
* For New York Times Op-Art* Model: Bre Bitz
* Hair: Pia Vivas
* Makeup: Giana DeYoung * Assistant Creative Direction: Tiam TaheriLook N° 5 (c)
* For New York Times Op-Art* Model: Bre Bitz
* Hair: Pia Vivas
* Makeup: Giana DeYoung * Assistant Creative Direction: Tiam TaheriLook N° 4
* For DIS Magazine (2010) * Creative direction by Lauren Boyle and Marco Roso* Model: Jude
* Hair: Pia Vivas
Look N° 3
* For DIS Magazine (2010) * Creative direction by Lauren Boyle and Marco Roso* Model: Jude
* Hair: Pia Vivas
Look N° 2
* For DIS Magazine (2010) * Creative direction by Lauren Boyle and Marco Roso* Model: Irina
* Hair: Pia Vivas
Look N° 1
* For NYU ITP Thesis Presentation (2010)* Hair: Pia Vivas
* Model: Jen Jaffe
*
Look + 1
* Photo ©Cha Hyun Seok * From Coreana Museum of Art Workshop * Creative Direction: Kim Hyuna * Makeup: Moon Yoo Jin * Makeup (Jewelry Details): Bai Yingai * Makeup (Stud Details): Jung Ji Moon * Hair: Choi Ji Soo, Gu Ye Na * Face Chart Design: Kim Ka Hyun, Kim Ye Bin * Model: G-Squre Model Academy* More info
Look + 2
* Photo ©Cha Hyun Seok * From Coreana Museum of Art Workshop * Creative Direction: Kim Hyuna * Makeup: Moon Yoo Jin * Makeup (Jewelry Details): Bai Yingai * Makeup (Stud Details): Jung Ji Moon * Hair: Choi Ji Soo, Gu Ye Na * Face Chart Design: Kim Ka Hyun, Kim Ye Bin * Model: G-Squre Model Academy* More info
Look + 3
* Photo ©Cha Hyun Seok * From Coreana Museum of Art Workshop * Creative Direction: Kim Hyuna * Makeup: Moon Yoo Jin * Makeup (Jewelry Details): Bai Yingai * Makeup (Stud Details): Jung Ji Moon * Hair: Choi Ji Soo, Gu Ye Na * Face Chart Design: Kim Ka Hyun, Kim Ye Bin * Model: G-Squre Model Academy* More info
Look + 4
* Photo ©Cha Hyun Seok * From Coreana Museum of Art Workshop * Creative Direction: Kim Hyuna * Makeup: Moon Yoo Jin * Makeup (Jewelry Details): Bai Yingai * Makeup (Stud Details): Jung Ji Moon * Hair: Choi Ji Soo, Gu Ye Na * Face Chart Design: Kim Ka Hyun, Kim Ye Bin * Model: G-Squre Model Academy* More info
------------------------- TEST PATTERNS FOR STYLISTS Test pattern to block OpenCV, eblearn, VeriLook, and Apple facedetection
Download PDF
Test pattern to block OpenCV, eblearn, VeriLook, and Apple facedetection
Download PDF
------------------------- STYLE TIPS FOR RECLAIMING PRIVACY1
MAKEUP
Avoid enhancers: They amplify key facial features. This makes your face easier to detect. Instead apply makeup that contrasts with your skin tone in unusual tones and directions: light colors on dark skin, dark colors on light skin.2
NOSE BRIDGE
Partially obscure the nose-bridge area: The region where the nose, eyes, and forehead intersect is a key facial feature. This is especially effective against OpenCV's face detection algorithm.3
EYES
Partially obscure one of the ocular regions: The position and darkness of eyes is a key facial feature.4
MASKS
Avoid wearing masks as they are illegal in some cities. Instead of concealing your face, modify the contrast, tonal gradients, and spatial relationship of dark and light areas using hair, makeup, and/or unique fashion accessories.5
HEAD
Research from Ranran Feng and Balakrishnan Prabhakaran at University of Texas, shows that obscuring the elliptical shape of a head can also improve your ability to block face detection. Link: Facilitating fashion camouflage art6
ASYMMETRY
Facial-recognition algorithms expect symmetry between the left and right sides of the face. By developing an asymmetrical look, you may decrease your probability of being detected. -------------------------COLLABORATIONS
From DIS Magazine's How to Hide from Machines -------------------------RELATED PROJECTS
* Tech Camouflage: Anti-Face Makeup Workshop at Coreana Museum of Art + Soobin Academy + G-square Model Academy * Face Dazzler for Androidby Petr Prokop
* Jillian Mayer’s tutorial * Facial Recognition Defense Workshop: A Make-Up Tutorial*
More info will be published here soon -------------------------PRESS
Selected Press
* New York Times Op-Ed: Face to Anti-Face * Süddeutsche Zeitung Magazine: Lasst euch das eine Tarnung sein * Wired UK: How to use camouflage to thwart facial recognition * The Register: Reverse-engineering artist busts face detection techPresentations
* Upcoming in 2014: Future Everything. Manchester. March 2014. * Quintessenz. Wien, Austria. 2013. * SMART Design. 2013 * Tabula Rasa: Spoofing, Anti-Spoofing Workshop. Rome. 2012. * IxDS. Berlin. 2011 * New York Times Design Series. 2010. * Philly Tech Week. 2012 * HOPE Hackers Conference. 2010 ------------------------- CITATIONS, RESOURCES, & RELATED RESEARCHCitations
* Makeup challenges automated face recognition systems * Facial Cosmetics Database and Impact Analysis on Automatic FaceRecognition
RELATED RESEARCH
* Facilitating fashion camouflage art*
RESOURCES
* How OpenCV works
* OpenCV2 for Processingby @atduskgreg
* Apple Face Detectorby @kachkaev
-------------------------CONTACT
CV Dazzle is developed by ADAM HARVEY, an artist whose work explores the impacts of surveillance technologies. His projects have earned a Core77 design award, a Webby Nomination, a commission grant from Rhizome.org, and received press coverage and interviews with the BBC, The Guardian, Wired, Air Force Times, Scientific American, VICE, and Dazed and Confused. He currently lives in Brooklyn. -------------------------OPENCV VISUALIZED
OPENCV FACE DETECTION OpenCV is one of the most widely used face detectors. This algorithm performs best for frontal face imagery and excels at computational speed. It's ideal for real-time face detection and is used widely in mobile phone apps, web apps, robotics, and for scientific research. OpenCV is based on the the Viola-Jones algorithm. This video shows the process used by the Viola Jones algorithm, a cascading set of features that scans across an image at increasing sizes. By understanding how the algorithm detects a face, the process of designing an "anti-face" becomes more intuitive. Click image for video: http://vimeo.com/12774628 -------------------------IMAGE USE
All images ©2010-2016 Adam Harvey. Please contact prior to use.Details
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