Lecture 13 Flashcards
What is motion vision used for?
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What is inner loop control? What are examples?
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What is outer loop control? What are examples?
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What are examples of other ways in which motion vision is used for?
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What happens when there is motion blur?
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What is the snaps shot in a rotational movement? What is the snap shot in a translation movement?
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What does the length of the arrow depend on? Which movement is this in?
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What is a parallex vector? What does it depend on? What is the equation?
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Why is this vector useful?
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What are the motion axis of the animal? What are the different movements along each axis? What do they combine to form?
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What do you do for the individual directions?
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What happens when there is a pure translation component?
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What happens when there is only a pure rotational component?
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What are the structures of the global flow- fields in translation and rotation? What are the differences?
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How to map 3D –> 2D plane? What is found in the 2D planes?
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What is the distance between each unit?
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Given that we can measure the distribution of parallax vectors in an optic flow, how do we estimate T and R? What is the equation? Why do we have to do this?
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What is the KvD method?
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What is the problem with this in the translation aspect?
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How has this problem been solved? How is the equation changed?
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How does this new equation change stuff in the rotation aspect?
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What is the method used to minimise the error, E, between a set of observed parallax vectors, and estimated parallax vectors? i.e. what is a method to measure optic flow?
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What are the equations for the estimates of t, R and µ? What do the different components mean?
a. What is I?
b. What is v ?
c. What is the circle with the x in it?
What is ?
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What are the components of the t and R estimate equations that consider the opposite in that equation? Why does this occur? How to minimise this problem? What term does it affect?
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Why is this method robust?
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How to assess the potential of the method? What is the graph to plot? What would the results show?
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How does perturbation compare to the root mean squared (RMS) of the deviation of results? What is the relationship?
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How many points to use to give a good estimate? What graph shows this? What was the results for number of points to give a good estimate?
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What does this mean in terms of insects?
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What are the problems with the KvD? What are the problems biologically?
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What is an alternative way of analysing visual motion? What is it called?
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What is LK?
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What are the steps?
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What are the formulas of the LK method? How to apply LK?
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What is the motion constraint? How to get it from the LK?
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How to implement the LK?
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What are the problems which can arise? How to solve this?
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How does LK compare to KvD?
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How do other approached vary to?
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