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Summary

Summary. You should know…. Overview and Applications. Breadth of the topics Examples of applications How digital images are represented Marr’s theory. Image Transformations (1). Point transforms scaling, histogram manipulation,thresholding Local transforms edge detection, smoothing

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Summary

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  1. Summary You should know…. CT333/433 computer Vision - Summary

  2. Overview and Applications • Breadth of the topics • Examples of applications • How digital images are represented • Marr’s theory CT333/433 computer Vision - Summary

  3. Image Transformations (1) • Point transforms • scaling, histogram manipulation,thresholding • Local transforms • edge detection, smoothing • Global transforms • Fourier, Hough, Principal Component, Wavelet CT333/433 computer Vision - Summary

  4. Image Transformations (2) • Morphological transforms • erosion, dilation • Skeletonisation • Geometrical transformations • Transform and resampling CT333/433 computer Vision - Summary

  5. Geometric Feature Extraction (1) • Methods of edge enhancement and following • Region detection CT333/433 computer Vision - Summary

  6. Geometric Feature Extraction (2) • Shape from X methods • Texture analysis techniques. CT333/433 computer Vision - Summary

  7. Object, World and Scene Representation (1) • Shape representation • borders • regions • Shape description • outlines • Fourier descriptors CT333/433 computer Vision - Summary

  8. Object, World and Scene Representation (2) • Multiscale representations • scale spaces • pyramids • wavelets • Other representations • deformable shapes • eigenrepresentations CT333/433 computer Vision - Summary

  9. Recognition Methods (1) • Template matching • Statistical classification CT333/433 computer Vision - Summary

  10. Recognition Methods (2) • Principal component recognition CT333/433 computer Vision - Summary

  11. Motion Tracking and Time Sequence Analysis (1) • Moving objects create changes in the image data • taxonomy of changes • Change detection • Optical flow CT333/433 computer Vision - Summary

  12. Motion Tracking and Time Sequence Analysis (2) • Model based tracking • Kalman filter • outline • Condensation tracking • outline CT333/433 computer Vision - Summary

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