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courses:b4m33dzo:exam [2016/06/14 08:06] (current)
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 +== Topics and questions for written part of the exam ==
 +The topics will be the union of the topics of the lectures and the topics of the labs. 
 +The questions will tend to test your practical knowledge and understanding of principles, rather than testing your encyclopedic knowledge. ​
 +Below are examples of questions which may occur at the exam (please not that this list is not exahustive).
 +Whenever you will be asked to "​compute"​ something, it means you can use your head, pen and paper. You cannot use e.g. a computer with matlab. ​
 +  * Histogram, entropy: given a set of observations (real numbers), compute the histogram. Compute entropy.
 +  * Sampling, quantization:​ describe what it is. Describe the idea behind dithering. ​
 +  * Filtering: Given a small image and a filter, compute the result of filtering an image by a filter.
 +  * Separable filtering: given a 2D filter, check whether it is separable to two 1D filters.
 +  * Intensity transformations:​ Describe homomorphic filtering.
 +  * Image formation, example question: "Given an object with radiance L, is the irradiance at a pixel dependent on the distance of this object to the camera?"​
 +  * Segmentation by thresholding:​ given an image and a threshold value, compute the segmentation.
 +  * Binary morphology: given an image and a structure element, compute erosion.
 +  * Dynamic programming:​ given a small dynamic programming problem, compute the minimizing path.
 +  * K-means: you are given a set of points (in e.g. 2D), and intial cluster centers. Compute the assignments of points to these centers.
 +  * Segmentation by graph cut: given a small graph, compute the minimum cut and the segmentation.
 +  * Gaussian mixtures: write down the formula for multivariate Gaussian. Describe the parameters of the multivariate Gaussian (this is related to task 5).
courses/b4m33dzo/exam.txt ยท Last modified: 2016/06/14 08:06 (external edit)