Teaching Assistant: Yagmur Cinar
Wednesdays 11h15 - 12h45 in H206
Verify Lecture Locations in ADE
http://www-prima.inrialpes.fr/Prima/Homepages/jlc/Courses/2016/PRML/PRML.html
Class notes (pdf)
05 October 2016 Learning and
Evaluation of Pattern Recognition Processes
12 October 2016 Face Detection
using Color Histograms
12 October 2016 Lab Project 1: Face Detection with Color Histograms
of Skin Pixels (Due Wednesday 9 Nov)
12 October 2016 Lab Project 1: Evaluation Criteria and
Grading Scale
12 October 2016 UMASS FDDB: Face Detection Data Set and
Benchmark
12 October 2016 Background Reading: [Jain and Learned-Miller 2010],
[Schwerdt-Crowley FG2000],
19 October 2016 Progamming Clinic: Python, OpenCV,
Face Image Data Bases
26 October 2016 Viola Jones
Face Detector - Image Description with Haar like features, Boosted
Learning, Cascade Classifiers.
26 October 2016 Background Reading: [Viola-Jones CVPR 2001]
9 November 2016 Lab Project 1 Project Team Presentations.
9 November 2016 Lab Project
2: Viola Jones Faces Detector (Evaluation Criteria)
(Presentations 7
December, Written reports due Wednesday 14 December)
16 November 2016 No Class - Lab Project 1 written reports due by email (Lab 1 Evaluation Criteria)
23 November 2016 Eigen Faces - Face
Detection and Recognition with Principal Components Analysis
30 November 2016 NO CLASS - Work on Lab Project 2.
7 December 2016 Viola Jones Face Detector - Project Team
Presentations
14 December 2016 Lab 2 Viola Jones Face Detector: Written Project
Results Due
14 December 2016 Artificial Neural Networks: Introduction to
Neural Networks, Regression Analysis and
Gradient descent.
14 December 2016 Background Reading:
[Rowley-Kanade 1998]
4 January 2017 Artificial Neural Networks: Training Multi-layer networks with Back-Propagation
4 January 2017 Lab Project 3: Face Detection with Artificial
Neural Networks
4 January 2017 Paper on Xavier GLORIOT's initialisation procedure
10 January 2017 Make up class for 16 November: Perceptrons, Support
Vector Machines
10 January 2017 Background Reading: SVM Face Detection [Osuna et al 1997]
11 January 2017 Convolutional
Neural Networks, Pooling, Auto-Encoders
18 January 2017 Project Team Presentations for Lab 3
18 January 2017 Review of Course, Preparation for Exam.
25 January 2017 Written reports for Lab project 3 due
by email
6-11 February 2017 Exams.
Some Notes on Performance Evaluation:
Performance Evaluation Metrics (supplement to lecture 1).
Face Detection Data Sets:
Below we list of face detection datasets.
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/2016/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 3 Jan 2017