Lecture 6: Photometric Stereo, Noise Gain, Error Amplification, Eigenvalues and Eigenvectors Review
Data Science, Analytics & Computer TechnologyAIMachine LearningVisualizationComputer ScienceEngineering
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Description: In this lecture, Prof. Horn speaks about the applications of linear algebra to motion estimation and noise gain. He also discusses Lambertian Objects, Lambert’s Law, and brightness. Speaker: Berthold Horn
Lecture 6: Photometric Stereo, Noise Gain, Error Amplification, Eigenvalues and Eigenvectors Review - MIT. Freelio.dk