The following are slides used in the video lectures that have been revised. The revisions are shown in red and correspond to either corrections to errors or additions made for clarity. The name of each slide includes the name of the video in which it appears (e.g., Image Formation using Lenses) and the duration of the video over which it appears (e.g., (Time 3.53 - 5.05)).
Image Formation using Lenses (Time 3.53 - 5.05)
Types of Image Sensors (Time 5.11 - 6.54)
Resolution, Noise, Dynamic Range (Time 6.09 - 6.41)
Geometric Properties (Time 15.23 - 16.13)
LSIS and Convolution (Time 10.34 - 10.49)
Linear Image Filters (Time 0.23 - 3.19)
Linear Image Filters (Time 12.08 - 14.00)
Template Matching by Correlation (Time 2.18 - 3.10)
Corner Detection (Time 1.22 - 3.02)
Fitting Lines and Curves (Time 9.00 - 10.05)
Haar Features for Face Detection (Time 7.09 - 8.21)
Linear Camera Model (Time 4.45 - 5.24)
Estimating Fundamental Matrix (Time 1.43 - 2.17)
Computing Depth (Time 3.24 - 3.42)
Computing Depth (Time 3.43 - 4.47)
Lucas-Kanade Method (Time 1.36 - 2.56)
Observation Matrix (Time 9.44 - 11.12)
Observation Matrix (Time 12.05 - 14.08)
Observation Matrix (Time 14.09 - 14.40)
Rank of Observation Matrix (Time 5.22 - 7.01)
Rank of Observation Matrix (Time 7.02 - 8.12)
Rank of Observation Matrix (Time 8.13 - 9.44)
Object Tracking using Template Matching (Time 3.20 - 3.55)
Principal Component Analysis (Time 4.35 - 5.50)
Parametric Appearance Representation (Time 9.35 - 11.54)