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Machine Vision provides an intensive introduction to the process of generating a symbolic description of an environment from an image.
0
1
English
English [CC]
FREE
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Description
Lectures describe the physics of image formation, motion vision, and recovering shapes from shading. Binary image processing and filtering are presented as preprocessing steps. Further topics include photogrammetry, object representation alignment, analog VLSI and computational vision. Applications to robotics and intelligent machine interaction are discussed
Course content
- General Introduction Unlimited
- General Introduction (cont.) Unlimited
- Constant Brightness Equation (cont.) Unlimited
- Photometric Stereo Unlimited
- Shape from Shading Unlimited
- Shape from Shading (cont.) Unlimited
- Shape from Gradient (cont.) Unlimited
- Binary Image Processing Unlimited
- Binary Image Processing (cont.) Unlimited
- Binary Image Processing (cont.) Unlimited
- Binary Image Processing (cont.) Unlimited
- Binary Image Processing (cont.) Unlimited
- The Euler Equations and their Applications Unlimited
- Optical Flow Unlimited
- Optical Flow (cont.) Unlimited
- Optical Flow (cont.) Unlimited
- Optical Flow (cont.) Unlimited
- Optical Flow (cont.) Unlimited
- Extended Gaussian Images Unlimited
- Extended Gaussian Images (cont.) Unlimited
- Extended Gaussian Images (cont.) Unlimited
- Photogrammetry Unlimited
Instructor
Massachusetts Institute of Technology
5
5
1
1916
1520
