Resources for learning

Notes:
-7: Search paper with code for all related datasets eg. https://paperswithcode.com/sota/head-pose-estimation-on-biwi
-6: Backbone oriented face angle predictions: https://arxiv.org/pdf/1901.06778v2.pdf \ -5: Complete guide on face angles, pose https://www.learnopencv.com/head-pose-estimation-using-opencv-and-dlib/
-4: Roll, Pitch, yaw : https://github.com/fisakhan/Face_Pose/blob/master/pose_detection_retinaface.py
-3: MTCNN vs dlib https://www.youtube.com/watch?v=Yt4TpRmwVPI
-2: Impo- use this probably https://www.youtube.com/watch?v=IZnbd29gtIQ\ -1: Facemesh tf js
0: TF js implement.\

1. If more than one person appear then save their faces.\
2. Person id not on all frames but periodically\

Research Papers and Articles:

1. https://machinelearningmastery.com/introduction-to-deep-learning-for-face-recognition/
2. https://arxiv.org/pdf/1804.06655.pdf Complete face recognition book. MANDATORY READ.
3. https://towardsdatascience.com/an-intro-to-deep-learning-for-face-recognition-aa8dfbbc51fb
4. Google about a. Face detection tasks b. driver status monitoring system deep learning c. Multi task deep learning
5. https://arxiv.org/pdf/1804.06655.pdf
6. Lightweight Driver Monitoring System Based onMulti-Task Mobilenets
7. http://images.nvidia.com/cn/gtc/downloads/pdf/ecs/6%20Deep%20Learning%20for%20Eye%20Tracking(7invensun)%20Thomas%20%5BFinal%20Big%5D10.0.pdf
8. FaceNet

Youtube, Courses and other important links: Explore youtube for inspiration.

1. https://www.youtube.com/watch?v=_wuyh37gO-4
2. VVV IMPORTANT introduction to gaze by opencv
3. Multitask learning ny Dr. Ng
4. Similar project
5. Similar Project

Datasets:

1. MS-Celeb-1M: Challenge of Recognizing One Million Celebrities in the Real World
2. https://www.robots.ox.ac.uk/~vgg/data/vgg_face2

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