2018 - 2019
Teaching Assistant: Nachwa Aboubakr
Wednesdays 11h15 - 12h45 in H203*
Verify Lecture Locations in ADE
Schedule of Classes
Class notes (pdf)10 October 2018 Learning and
Evaluation for Pattern Recognition - D208
Lab Project 1: Face Detection with Color Histograms
of Skin Pixels
Presentations 7 November, Written reports due Wednesday 14
UMASS FDDB: Face Detection Data Set and
Background Reading: [Jain and Learned-Miller 2010],
[Schwerdt-Crowley FG2000], (Nachwa Aboubakr)
17 October 2018 Detecting and Locating Faces with Color: Three Challenges for Project 1 - H202 (Nachwa Aboubakr)
Nachwa Aboubakr's ppt slides on "Face Detection with Colors".
24 October 2018 Progamming Clinic: Python, OpenCV,
Face Image Data Bases - H202 (Nachwa Aboubakr)
31 October - pas de cours - Vacance de Toussaint
7 November 2018 Project 1 - Oral Presentations by 2 teams - H203
14 novembre 2018 No Class. Project 1 written reports due by email.
21 novembre 2018 No Class
28 November 2018 Viola Jones
Face Detector - Image Description with Haar like features, Boosted
Learning, Cascade Classifiers.
2: Viola Jones Faces Detector (Evaluation Criteria)
12 December, Written reports due Wednesday 19 December)
Background Reading: [Viola-Jones CVPR 2001]
05 December 2018 Clustering and Non-Supervised Learning with K-Means and EM
Jeff Bilmes, A Gentle
Tutorial of the EM Algorithm
12 December 2018 Viola Jones Face Detector - Project Team
19 December 2018 Maximal-Margin Linear Classifiers: Perceptrons and Support Vector Machines
Background Reading: Training Support Vector Machines: An Application to Face Detection
Alternative Lecture (not presented for lack of time).
19 December 2018 Eigen Faces - Face
Detection and Recognition with Principal Components Analysis
Background Reading: Turk and Pentaland, Face recognition using eigenfaces, CVPR 91
09 January 2019 Artificial Neural Networks: Introduction, Multi-layer networks, Backpropagation.
on Xavier GLORIOT's initialisation procedure
Face Dection with Neural Nets
Lab Project 3: Face Detection with Artificial
16 January 2019 Convolutional
Neural Networks, Pooling, Architectures
Background Reading: VGG, Simonyan and Zisserman, ICLR 2015
23 January 2019 Deconvolution, AutoEncoders, Generative Adversarial Networks
Background Reading: Noh et al, Deconvolution for Semantic Segmentation. ICCV 2015
Background Reading: Kingma et al, Deep Generative Models, NIPS 2014
30 January 2019 Face Dection with Neural Networks - Project Team
6 February 2018 Written reports for Lab project 3 due
Exam from Jan 2017
Exam from Jan 2018
Face Detection Data Sets:
FDDB dataset: FDDB dataset contains the annotations for 5,171 faces in a set of 2,845 images.
A face detection benchmark dataset with 32,203 images and labels for
393,703 faces with a high degree of variability in scale, pose and
MALF dataset: Face Detection in the Wild. MALF consists of 5,250 images and 11,931 faces.
AFW dataset: Face Detetion in the Wild. AFW dataset is built using Flickr images. It has 205
images with 473 labeled faces.
For each face, annotations include a
rectangular bounding box, 6 landmarks and the pose angles.
IJB-A dataset: US NIST IJB-A dataset for face detection and face
recognition. IJB-A contains 24,327 images and 49,759 faces.
NB : Ces fichiers peuvent etre
copié, reproduit et
dans autre texte, sous condition d'inclure une citation :
These files can be copied and used in editing other text, with the
condition of including a citation:
Crowley, J. L. , "Class Notes - Pattern Recognition and Machine
Learning", ENSIMAG, Grenoble Institut Polytechnique,
Crée par James L.
Crowley. Last update 2 Dec 2018