Exploring Lecture 20 Computer Vision
Exploring Lecture 20 Computer Vision reveals several interesting facts.
- Lecturer
- Multiview geometry Epipolar geometry Essential matrix Fundamental matrix 8-point algorithm Non-linear least squares 8-point ...
- Computer vision
- Face Recognition III Cross-entropy loss Face databases Facial expressions Action Units (AUs) Papers and Resources: FERET: ...
- Object recognition Gait recognition Shape analysis Shape-based object and action recognition Bingham and von Mises-Fisher ...
In-Depth Information on Lecture 20 Computer Vision
Face Recognition II Laplacianfaces Linear Discriminant Analysis (LDA), Fisherfaces Tensorfaces Deepfaces (Deep learning) ... Discrete Fourier Transform Discrete Cosine Transform (DCT) Image and video compression JPEG, MPEG Non-rigid structure from ... Lecture Illumination cone -- algorithmic details Optical Flow Slides: ...
Lecture 20 - Deep into Deep Learning [Compute Vision Fall 2020]
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