[3D Reconstruction] CS231A, Computer Vision, From 3D Reconstruction to Recognition
CS231A: Computer Vision, From 3D Reconstruction to Recognition
https://web.stanford.edu/class/cs231a/
CS231A: Computer Vision, From 3D Reconstruction to Recognition
Can I audit or sit in? In general we are very open to sitting-in guests if you are a member of the Stanford community (registered student, staff, and/or faculty). Out of courtesy, we would appreciate that you first email us or talk to the instructor to be
web.stanford.edu
위 강의는 컴퓨터 비전 내용 중에서도 주로 geometry와 3D에 관련된 내용들을 다룬다. 코스는 아래와 같이 구성된다.
Course Notes 1: Camera Models
Course Notes 2: Single View Metrology
Course Notes 3: Epipolar Geometry
Course Notes 4: Stereo Systems
Course Notes 5: Active and Volumetric Stereo
Course Notes 6: Fitting and Matching
Course Notes 7: Representations and Representation Learning
Course Notes 8: Monocular Depth Estimation and Feature Tracking
Course Notes 9: Optical and Scene Flow
Course Notes 10: Optimal Estimation
좋은 내용들이 많아서 하나씩 차근 차근 살펴볼 예정이다.
Prerequisites로는 최소 CS221, CS229, CS131A 강의들을 들었거나 그에 동등한 지식들을 필요로 한다.
아쉽지만 현재 이 강의는 유튜브에 공개되어있지는 않다.
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