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+ | == Topics and questions for written part of the exam == | ||

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+ | The topics will be the union of the topics of the lectures and the topics of the labs. | ||

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+ | The questions will tend to test your practical knowledge and understanding of principles, rather than testing your encyclopedic knowledge. | ||

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+ | Below are examples of questions which may occur at the exam (please not that this list is not exahustive). | ||

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+ | 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. | ||

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+ | * 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)