Teaching Assistant: Yagmur Cinar
Wednesdays 11h15 - 12h45 in H203*
Verify Lecture Locations in ADE
Schedule of Classes
http://www-prima.inrialpes.fr/Prima/Homepages/jlc/Courses/2017/PRML/PRML.html
Class notes (pdf)
04 October 2017 Learning and
Evaluation for Pattern Recognition
11 October 2017 Face Detection
using Color Histograms
11 October 2017 Lab Project 1: Face Detection with Color Histograms
of Skin Pixels (Due Wednesday 15 Nov)
11 October 2017 UMASS FDDB: Face Detection Data Set and
Benchmark
11 October 2017 Background Reading: [Jain and Learned-Miller 2010],
[Schwerdt-Crowley FG2000],
18 October 2017 Progamming Clinic: Python, OpenCV,
Face Image Data Bases (in E104)
25 October 2017 Detecting and Locating Faces with Color: Three Challenges for Project 1
8 November 2017 Lab Project 1 Project Team Presentations.
15 November 2017 No Class - Lab Project 1 written reports due by email
22 November 2017 Viola Jones
Face Detector - Image Description with Haar like features, Boosted
Learning, Cascade Classifiers.
22 November 2017 Lab Project
2: Viola Jones Faces Detector (Evaluation Criteria)
(Oral Presentations 13
December, Written reports due Wednesday 20 December)
22 november 2017 Background Reading: [Viola-Jones CVPR 2001]
29 November 2017 Eigen Faces - Face
Detection and Recognition with Principal Components Analysis
29 November 2017: Background Reading: Turk and Pentaland, Face recognition using eigenfaces, CVPR '91
6 December 2017 Clustering and Non-Supervised Learning with K-Means and EM
6 December 2017 Jeff Bilmes, A Gentle
Tutorial of the EM Algorithm
13 December 2017 Viola Jones Face Detector - Project Team
Presentations
20 December 2017 Artificial Neural Networks: Introduction, Multi-layer networks, Backpropagation.
20 December 2017 Paper on Xavier GLORIOT's initialisation procedure
20 December 2017 Background Reading:
[Rowley-Kanade 1998]
20 December 2017 Lab Project 3: Face Detection with Artificial
Neural Networks
20 December 2017 Lab 2 Viola Jones Face Detector: Written Project
Results Due
10 January 2018 Convolutional
Neural Networks, Pooling, Auto-Encoders
17 January 2018 Project Team Presentations for Lab 3
17 January 2018 Review of Course, Preparation for Exam.
25 January 2018 Written reports for Lab project 3 due
by email
5-10 February 2018 Exams.
Annals: Exam from 2016/2017.
Some Notes on Performance Evaluation:
Performance Evaluation Metrics (supplement to lecture 2).
Face Detection Data Sets:
FDDB dataset: FDDB dataset contains the annotations for 5,171 faces in a set of 2,845 images.
WIDER FACE:
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
occlusion.
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.
http://www-prima.inrialpes.fr/Prima/Homepages/jlc/Courses/2017/PRML/PRML.html
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Copyright:
Crowley, J. L. , "Class Notes - Pattern Recognition and Machine
Learning", ENSIMAG, Grenoble Institut Polytechnique,
Crée par James L.
Crowley. Last update 10 oct 2017