Face_Detection

The program aims to implement a face recognition parallelized algorithm using idea of Local Binary Patterns.

Two algorithms impleamented, whre one is sequential and the other is parallelized form using omp library.

DATASET: • There are 18 different persons' pictures in our dataset with 20 pictures for each person that are taken under different light condition and with different gestures. • First k pictures of each person will be training images and the remaining 20-k pictures of each person will be used as test images. ◦ Pictures are named as the following format : person_id.photo_id.txt ◦ Each file contains 2D matrices. ◦ Ex for k=10: ▪ training set for person 1: 1.1.txt, 1.2.txt, 1.3.txt, … , 1.10.txt ▪ test set for person 1: 1.11.txt, 1.12.txt, 1.13.txt, … , 1.20.txt • All pictures in the dataset are gray scale images. Each pixel value will be an integer between 0 and 255. • Each image is composed of 180x200 pixels.

Impleamentation: By running compile.sh, two executables with the names lbp_seq, and lbp_omp shall be created. Runing sequential code: i) input following command into terminal: ./lbp_seq ${k} where 1&lt;k&lt;20, Runing parallel code: ii) input following commanf into termial: ./OMP_NUM_THREADS=${i} ./lbp_omp ${k} where 1<k<20, i = number of threads greater than 1 perferably

By executing run.sh profiling reports generated using gprof.