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6.801 Machine Vision (MIT) 6.801 Machine Vision (MIT)

Description

Machine Vision provides an intensive introduction to the process of generating a symbolic description of an environment from an image. 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. Machine Vision provides an intensive introduction to the process of generating a symbolic description of an environment from an image. 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.

Subjects

machine vision | machine vision | image formation physics | image formation physics | image analysis | image analysis | binary image processing | binary image processing | image filtering | image filtering | recovering | recovering | shape | shape | lightness | lightness | orientation | orientation | motion | motion | photometric stereo | photometric stereo | extended Gaussian | extended Gaussian | environment interaction | environment interaction | motion vision | motion vision | shape from shading | shape from shading | photogrammetry | photogrammetry | stereo | stereo | object representation alignment | object representation alignment | analog VLSI | analog VLSI | computational vision | computational vision | robot vision | robot vision

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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6.801 Machine Vision (MIT)

Description

Machine Vision provides an intensive introduction to the process of generating a symbolic description of an environment from an image. 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.

Subjects

machine vision | image formation physics | image analysis | binary image processing | image filtering | recovering | shape | lightness | orientation | motion | photometric stereo | extended Gaussian | environment interaction | motion vision | shape from shading | photogrammetry | stereo | object representation alignment | analog VLSI | computational vision | robot vision

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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6.801 Machine Vision (MIT)

Description

Machine Vision provides an intensive introduction to the process of generating a symbolic description of an environment from an image. 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.

Subjects

machine vision | image formation physics | image analysis | binary image processing | image filtering | recovering | shape | lightness | orientation | motion | photometric stereo | extended Gaussian | environment interaction | motion vision | shape from shading | photogrammetry | stereo | object representation alignment | analog VLSI | computational vision | robot vision

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

Site sourced from

https://ocw.mit.edu/rss/all/mit-allcourses.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

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