2015
DOI: 10.14257/ijsip.2015.8.4.22
|View full text |Cite
|
Sign up to set email alerts
|

Application Research on Face Detection Technology based on OpenCV in Mobile Augmented Reality

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
9
0
1

Year Published

2017
2017
2022
2022

Publication Types

Select...
4
4
1

Relationship

0
9

Authors

Journals

citations
Cited by 15 publications
(10 citation statements)
references
References 0 publications
0
9
0
1
Order By: Relevance
“…Face detection finds faces information in the video sequence or image and determines the size, position, trajectory, attitude and further process of extraction of the human face eyes, lips and other features (Kitanovski & Izquierdo, 2011;Peng, 2015); Introduction of face recognition technology began in the early 80's and 90's, focused primarily in still photographs. Technology advancement has brought more research focused on detecting the video stream in the real-time face.…”
Section: Face Detectionmentioning
confidence: 99%
“…Face detection finds faces information in the video sequence or image and determines the size, position, trajectory, attitude and further process of extraction of the human face eyes, lips and other features (Kitanovski & Izquierdo, 2011;Peng, 2015); Introduction of face recognition technology began in the early 80's and 90's, focused primarily in still photographs. Technology advancement has brought more research focused on detecting the video stream in the real-time face.…”
Section: Face Detectionmentioning
confidence: 99%
“…De otra parte Vuforia es una plataforma software que permite la creación de aplicaciones de realidad aumentada para iOS y Android junto a Unity 3D [10], y trabaja como un complemento de visión por computador.…”
Section: Unity Game Engine Y Vuforiaunclassified
“…In addition, emotion recognition, face-swap, and face recognition have been widely commercialized and can be used in the vicinity. [21][22][23][24][25][26] Therefore, we tried to implement AR for Botox Injection using face-swap through detection of facial landmarks.…”
Section: Motivationmentioning
confidence: 99%