#### Summary of Vision and Motion

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Let’s recap the important points from the topics we have covered in our discussion of optical flow and visual servoing.

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Let’s recap the important points from the topics we have covered in our discussion of optical flow and visual servoing.

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Let’s recap the important points from the topics we have covered about human depth perception, display of 3D images and estimating 3D scene structure using stereo and other types of sensors.

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Let’s recap the important points from the topics we have covered in advanced image processing.

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Let’s recap the important points from the topics we have covered about homogeneous coordinates, image formation, camera modeling and planar homographies.

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Let’s recap the important points from the topics we have covered about image formation and perspective projection.

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Let’s recap the important points from the topics we have covered about light, wavelength, spectrums, light sources, reflection, reflectance functions, cone cells, tristimulus and chromaticity space.

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Let’s recap the important points from the topics we have covered about image features, blobs, connectivity analysis, and blob parameters such as centroid position, area, bounding box, moments, equivalent ellipse, and perimeter.

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Let’s recap the important points about spatial operators. Linear operators can be used to smooth images and determine gradients. Template matching can be used to find a face in a crowd. Non-linear operators such as rank filters can be used for noise removal, and mathematical morphology treats shapes according to their compatibility with a structuring […]

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Let’s recall the key techniques we’ve covered including monadic and dyadic image processing operations and efficient ways to write these in MATLAB using vectorization.

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Let’s recap some of the most important topics we’ve covered about treating an image as a matrix within MATLAB which we can display or index into.