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HomeMIT 6.801 Machine Vision, Fall 2020Lecture 6: Photometric Stereo, Noise Gain, Error Amplification, Eigenvalues and Eigenvectors Review
MIT 6.801 Machine Vision, Fall 2020

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Lecture 6: Photometric Stereo, Noise Gain, Error Amplification, Eigenvalues and Eigenvectors Review

1:27:25

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Lecture 7: Gradient Space, Reflectance Map, Image Irradiance Equation, Gnomonic Projection

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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