Face recognition:

• FERET
• Yale
• AT&T
• ORL
• CMU
• UMIST
• KLT
• PCA
• LDA
• ICA
• LLDA
• KPCA
• Tensor-based LDA
• Nontensor wavelet
• SIFT&MLBP
• Gabor-KDA
• Fusing LGP with BFLD
• CT-SVM
• ANN
• HNNwith Gabor
• SOM-CNN
• RBF
• FuzzyLDA
• Fuzzy Fisherface
• Breeder GA
• Genetic optimization

Re-Identification:

• AlignedReID
• AGRL
• OGNet
• st-ReID
• Top-DB-Net + RK
• B-BOT + OSM + CL
• AlignedReID
• Adaptive
• Regularization
• UTAL
• PAN

Detection:

1. YOLO

2. Tiny Face Detector

Aakarsh Malhotra thank you . Are these algorithms good for identifying faces and tracking people on the street or road, etc.? What do you think about the algorithm face net ?

Hi

A Cnn based face net also a better options that can be used for reference identification

There are various varients also available to focus as per the application

https://www.google.com/url?sa=t&source=web&rct=j&url=https://ieeexplore.ieee.org/abstract/document/8756575&ved=2ahUKEwjQi4O4tLLtAhWk4HMBHcjOAFcQFjAEegQIFhAB&usg=AOvVaw0SexIjTwgYlvEk9Pz33Hqx

Thanks

in image recognition (Object Recognition, Face Recognition)

SIFT (Scale-invariant Feature Transform)

SURF (Speeded Up Robust Features)

PCA (Principal Component Analysis), and LDA (Linear Discriminant Analysis).

I suggest you follow https://machinelearningmastery.com/how-to-perform-face-detection-with-classical-and-deep-learning-methods-in-python-with-keras/

https://towardsdatascience.com/a-guide-to-face-detection-in-python-3eab0f6b9fc1

Face recognition:

• FERET
• Yale
• AT&T
• ORL
• CMU
• UMIST
• KLT
• PCA
• LDA
• ICA
• LLDA
• KPCA
• Tensor-based LDA
• Nontensor wavelet
• SIFT&MLBP
• Gabor-KDA
• Fusing LGP with BFLD
• CT-SVM
• ANN
• HNNwith Gabor
• SOM-CNN
• RBF
• FuzzyLDA
• Fuzzy Fisherface
• Breeder GA
• Genetic optimization

Re-Identification:

• AlignedReID
• AGRL
• OGNet
• st-ReID
• Top-DB-Net + RK
• B-BOT + OSM + CL
• AlignedReID
• Adaptive
• Regularization
• UTAL
• PAN

Eigenvector decomposition has been found to provide promising results on face recognition, so much so that a dedicated term called "eigenface" has been coined to commemorate that.

CNN and Conventional model for face detection and alignment

1) MTCNN: Multi-Task Cascade Convolution Neural Network

https://github.com/kpzhang93/MTCNN_face_detection_alignment

2) Dlib

3) Fast-RCNN

4)YOLO

5) LBP

nature based algorithms