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Introduction to Computer Vision INF
(Year: 2 Period: 5 Category: Compulsory )
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Course Objectives:
- 1. (understand)Can explain modern techniques and underlying theories in computer vision.
- 2. (understand)Can apply mathematical techniques from linear algebra (eigenvalues, singular value decomposition) and calculus (differentiation of multivariate functions).
- 3. (understand)Can develop working programs for mathematical models using Python/Numpy/Scipy/OpenCV.
- 4. (understand)Can judge the strengths and limitations of the developed methods and programs.