Download slide here
Introduction and Overview ppt pdf slides pdf handouts
Access Control ppt pdf slides pdf handouts
Policy and Historical notes on Security ppt pdf slides pdf handouts
Bell-La Padula ppt pdf slides pdf handouts
Integrity Models ppt pdf slides pdf handouts
Comments on Identity and Data Mining ppt pdf slides pdf handouts
Confinement and Virtualization [Hook]Slides ppt (F07 ppt pdf slides pdf handouts)
Access control and Information flow. ppt
Assurance and Evaluation [Hook] ppt
Introduction and Overview ppt pdf slides pdf handouts
Access Control ppt pdf slides pdf handouts
Policy and Historical notes on Security ppt pdf slides pdf handouts
Bell-La Padula ppt pdf slides pdf handouts
Integrity Models ppt pdf slides pdf handouts
Comments on Identity and Data Mining ppt pdf slides pdf handouts
Confinement and Virtualization [Hook]Slides ppt (F07 ppt pdf slides pdf handouts)
Access control and Information flow. ppt
Assurance and Evaluation [Hook] ppt
Introduction to Computer Vision
Lecture Slides
Topic
|
Slides
|
Reading
|
Introduction
to computer vision
|
Szeliski
1
|
|
Cameras
and optics
|
Szeliski
2.1, especially 2.1.5
|
|
Light
and color
|
Szeliski
2.2 and 2.3
|
|
Pixels
and image filters
|
Szeliski
3.2
|
|
Thinking
in frequency
|
Szeliski
3.4
|
|
Image
pyramids and applications
|
Szeliski
3.5.2 and 8.1.1
|
|
Machine
learning: overview
|
||
Machine
learning: clustering
|
Szeliski
5.3
|
|
Machine
learning: classification
|
||
Edge
detection and line fitting w/ Hough transform
|
Szeliski
4.2
|
|
Robust
fitting (Hough Transform)
|
Szeliski
4.3
|
|
Robust
fitting (RANSAC and others)
|
Szeliski
4.3
|
|
Mixture
of Gaussians and EM
|
||
Gestalt
cues, MRFs, and graph cuts
|
Szeliski
5.5
|
|
Recoginition
Overview and History
|
Szeliski
14
|
|
Image
features and bag of words models
|
Szeliski
4.1.2, 14.4.1, and 14.3.2
|
|
Interest
points: corners
|
Szeliski
4.1.1
|
|
Quiz 1
|
||
Interest
points and instance recognition
|
Szeliski
14.3
|
|
Large-scale
instance recognition
|
Szeliski
14.3.2
|
|
Detection
with sliding windows
|
Szeliski
14.1
|
|
Guest talk: Jim Rehg, Behavior Imaging and the Study of Autism
|
||
Detection
with sliding windows continued
|
Szeliski
14.2
|
|
Context
and Spatial Layout
|
Szeliski
14.5
|
|
Guest talk: Gabriel Taubin, 3d photography
|
||
Feature
Tracking
|
Szeliski
4.1.4
|
|
Optical
Flow
|
see
above
|
Szeliski
8.4
|
Guest lecture: Deqing Sun, Optical flow
|
||
Epipolar
Geometry
|
Szeliski
11
|
|
Stereo
Correspondence
|
||
Structure
from Motion
|
Szeliski
7
|
|
Activity
Recognition
|
||
Internet
Scale Vision
|
No comments:
Post a Comment