Course Logistics
|
| 1/5 |
HTML PDF |
Introduction, Course logistics, Background test |
|
Math for Vision
|
| 1/7 1/12 1/14 |
HTML PDF |
Linear Algebra Review |
|
Camera Model
|
| 1/19 |
HTML PDF |
Intrinsic Camera Matrices, Extrinsic Camera Matrices, 3D Rigid Transformation |
| 1/21 |
HTML PDF |
Vanishing Point, Perspective Projection |
|
Multi-View Reconstruction
|
| 1/26 |
HTML PDF |
Estimating 3D from Correspondence, Gradient Descent, Epipolar Geometry, 8-point algorithm |
| 1/28 |
HTML PDF |
Robust Estimation of Fundamental Matrix, Lagrange Multiplier Method, Pre- and Post-processing, Low-rank Approximation |
| 2/2 |
HTML PDF |
Analytical Solution of Fundamental Matrix, RANSAC |
| 2/4 |
HTML PDF |
Mid-term Review |
| 2/9 |
HTML PDF |
Decode (R,t) from E, Corner Detection |
| 2/11 |
HTML PDF |
Corner Detection |
|
Tracking
|
|
Recognition
|
| 2/23 |
HTML PDF |
data-driven, nearest neighbor |
| 2/25 |
HTML PDF |
logistic regression |
| 3/2 |
HTML PDF |
basics of neural networks |
| 3/4 |
PDF |
deep neural network, bias-variance tradeoff |
| 3/9 |
PDF |
more of deep learning |
| 3/11 |
PDF |
convolutional neural network |
|