课程内容:
1) Camera Basics a. cameras: still, motion, stereo b. lenses: pinhole, simple, compound, panoramic c. sensors: film, CCD, CMOS, image intensifiers d. exposure control: mechanical & electronic shutters e. analog-to-digital conversion, communication, computer video cards 2) Camera Geometry a. homogeneous coordinates b. transformations: translation, rotation, rigid, affine, and projective c. intrinsic parameters and extrinsic parameters d. calibration 3) Feature extraction a. simple features, simple filters: edges, neighborhoods b. many variations on the theme of edge detection c. complex features: man-made (e.g., corners), nature-made (e.g., faces) d. decomposition, Gabor filters, wavelets, scale-independence e. transformations, compression, lossy-compression 4) Motion a. motion tracking, optical flow b. structure from motion c. affine structure from motion d. projective structure from motion e. video compression 5) Binocular and multi-view stereo a. recovery of scene depth from a stereo pair b. the corresponding point problem c. occlusions, windows, periodicities, other ambiguities d. stereo from motion, holography, motion from stereo e. stereo for people (teleoperation) vs. stereo for computers 6) Image understanding a. segmentation of objects and regions b. foreground-background, sky-ground, belonging-anomalous c. people, vehicles, threats, targets d. vision-based driving and navigation e. scene enhancement for inspection and teleoperation
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参考书目:
[1] Computer Vision: A Modern Approach, Forsyth & Ponce, ISBN: 0130851981 [2] Image Processing: Analysis and Machine Vision, Sonka, Hlavac, & Boyle, ISBN: 0-534-9539 [3] Computer Vision, Shapiro & Stockman, ISBN: 0130307963
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