Stat 238 Vision as Bayesian Inference

Stat 238

Vision as Bayesian Inference

Mon/Wed: 12:00-1:20 Winter 2012, Boelter 4413.

Course Description

This course models vision as Bayesian Inference. It concentrates on visual tasks such as segmenting images, detecting objects in images, and recognizing objects. Its goal is to describe the state of the art techniques. The handouts consist of copies of the lecture notes and related papers.

Reading Material

Course Notes and Handouts.
Papers and Journal Articles.
Instructor: Prof. Alan Yuille, yuille@stat.ucla.edu, 310-267-5383, office Math Sciences 8967.
Office Hours: Wednesday 4.00-5.00 pm (8967 Math Sciences), or by appointment (email).

Grading Plan

3 homework assignments (25% each). Term project or review (25%).

Homework1
Homework2

Tentative Schedule

Lecture	Date	Topics	Handouts	Supplements	Additional Readings
1	01-09	Introduction	Lecture1	Supplement1
2	01-11	Images and Statistical Edge Detection	Lecture2	Notes2
	01-16	Martin Luther King Holiday
3	01-18	Factorized Probability Models. Inavariant Features	Lecture3		KonishiYuille
4	01-23	Weak Membran Models	Lecture4	IntroProbGraphs	TV-norm
5	01-25	MRFs for Labeling: Gibbs and Mean Field Theory	Lecture5	MRFchapter	Grab-Cut
6	01-30	Exponential Models, ML learning, and MRFs	Lecture6	DellaPietra	ZhuWuMumford
7	02-01	Spectral Clustering, Super-pixels, and Edge detection	Lecture7	Superpixels
8	02-06	Unsupervised learning, and Dynamic Programming	Lecture8	DP&A*
9	02-08	Hidden Markov Models	Lecture9	HMMvision
10	02-13	Lambertian Lighting Models	Lecture10
11	02-15	Structure from Multiple Views	Lecture11	ManhattanWorld	SzeliskiDraft
12	02-20	Stereo and Belief Propagation	Lecture12	Stereo	See MRF Chapter for BP
13	02-22	Segmentation and Image Parsing	Lecture13		RegionCompetition
14	02-16	AdaBoost/Regression: Face and Text detection	Lecture14	ViolaJones	ChenYuille
15	02-21	Deformable Template Models of Objects	Lecture15		TuYuille
16	02-23	Learning Deformable Template Models	Lecture16		YuilleHe
17	02-28	Active Appearance Models and Grammars	Lecture17	AAMs	FORMs
18	03-02	Hierarchical Compositional Models	ReviewPaper	ActiveBasis
	03-07
	03-09