Open AccessDeteksi Wajah Berbasis Facial Landmark Menggunakan OpenCV Dan Dlib
Author(s) -
RR Puji Hajar Sejati,
Rodhiyah Mardhiyyah
Publication year - 2021
Publication title -
jurti (jurnal teknologi informasi)/jurti (jurnal teknologi informasi)
Language(s) - English
Resource type - Journals
eISSN - 2615-2738
pISSN - 2580-7927
DOI - 10.36294/jurti.v5i2.2220
Subject(s) - landmark , computer science , artificial intelligence , computer vision , face detection , face (sociological concept) , object class detection , viola–jones object detection framework , facial recognition system , pattern recognition (psychology) , social science , sociology
Computer science and information technology have advanced in a variety of sectors that were previously unachievable due to constraints such as hardware. Computer vision can be used to recognize an object using computer science. Objects can be recognized by taking or recording photos or videos and then processing them using specific tools and methodologies. The goal of the facial landmark-based face detection research using OpenCV and Dlib is to perform face detection in people so that it can be used for a variety of purposes in the future. The strategy employed in this study was the usage of facial landmarks using OpenCV and Dlib to improve face detection accuracy. Face detection has been effectively carried out based on facial landmark points, according to the findings of testing the entire system. Face landmark-based face detection is more accurate using the OpenCV Dlib, which can be seen during processing in the OpenCV Dlib, which can precision photos based on facial movements.