Handouts and Replays
Handouts (GDrive)
- Download Link
- [Updated: 09.08] 01.Introduction
- [Updated: 09.16] 02.Image.Formation.Part1.Camera
- [Updated: 09.21] 02.Image.Formation.Part2.Light.Shading
- [Updated: 09.27] 03.Image.Processing.Part1.Image.Filtering
- [Updated: 09.27] 03.Image.Processing.Part2.Edge.Resampling
- [Updated: 09.30] 04.Feature.Matching.Part1.Detector.Descriptor
- [Updated: 10.05] 04.Feature.Matching.Part2.Transformation.Stitching
- [Updated: 10.12] 05.Calibration
- [Updated: 10.14] 06.Stereo
- [Updated: 10.26] 07.MVS.SfM
- [Updated: 10.28] 08.Recognition
- [Updated: 10.28] Notes: linear regression
- [Updated: 11.08] 09.Classification
- [Updated: 11.08] 10.Optimization.NN
- [Updated: 11.11] 11.BP
- [Updated: 11.11] 12.CNN.Part1
- [Updated: 11.23] 13.CNN.Part2
- [Updated: 11.23] 14.Visualization
- [Updated: 11.25] 15.Detection.Segmentation
- [Updated: 12.07] 16.RNN.Transformer
- [Updated: 12.09] 17.3D.Vision.and.3D.Scene.Understanding
- [Updated: 12.13] 18.Vision.meets.Cognition
Problem Sets
- [Updated: 09.14] Problem Set 1 [Instruction] [Due: 10.06 23:59:59]
- [Updated: 10.12] Problem Set 2 [Instruction] [Images] [Due: 10.30 23:59:59]
- [Updated: 11.11] Problem Set 3 [Instruction] [Due: 11.25 23:59:59]
- [Updated: 11.28] Problem Set 4 [Instruction] [Due: 12.15 23:59:59]
Lecture Replays (Vimeo)
Lecture 01 (09.07): Introduction 1
Lecture 02 (09.14): Introduction 2 + Image Formation 1 Projection and Camera
Lecture 03 (09.16): Image Formation 2 Projection and Camera
Lecture 04 (09.21): Image Formation 3 Light and Shading
Lecture 05 (09.28): Image Processing
Lecture 06 (09.30): Features and Matching 1 Detector and Descriptor
Lecture 07 (10.05): Features and Matching 2 Transformation and Stitching
Lecture 08 (10.12): Problem Set 2 + Calibration
Lecture 09 (10.14): Calibration + Stereo
Lecture 10 (10.19): Stereo + MVS&SfM
Lecture 11 (10.26): MVS&SfM
Lecture 12 (10.28): Recognition
Lecture 13 (11.03): Classification
Lecture 14 (11.07): Optimization and NN
Lecture 15 (11.11): BP + CNN
Lecture 16 (11.16): CNN
Lecture 17 (11.23): CNN + Visualization
Lecture 18 (11.25): Detection and Segmentation
Lecture 19 (12.07): RNN and Transformer
Lecture 20 (12.09): 3D Vision and 3D Scene Understanding
Lecture 21 (12.14): Vision meets Cognition