交大计算机视觉课件2

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  • 2022-04-15 12:12
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Computer vision aims to recover useful information about a 3D scene from its 2D projections (images), such as the depth and structure, motion, surfaces curvature and orientation of 3D objects and status and meaning of the actions of 3D scene. In this course, basic concept, theories and algorithms of computer vision are introduced. First, basic operations of image will be reviewed, then relative theories and algorithms of regions, edge detection, stereo vision, 3D motion analysis, contour, texture, shading, optical flow, camera calibration, curves and surfaces of reconstructed 3D objects, dynamic vision systems will be discussed in details.
Computer Vision Part2.rar
  • Computer Vision Part2
  • 课程12.ppt
    318KB
  • 课程13.ppt
    440KB
  • 课程14.ppt
    267KB
  • 课程10.ppt
    143KB
  • 运动理解.ppt
    3.9MB
  • 课程11.ppt
    1.1MB
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