Oct 24, 2019   3:40 a.m. Kvetoslava
Academic information system

Course syllabus I-PVID - Computer Vision (FEEIT - SS 2019/2020)


     Information sheet          ECTS          Syllabus          


     Slovak          English          


University: Slovak University of Technology in Bratislava
Faculty: Faculty of Electrical Engineering and Information Technology
Course unit code: I-PVID
Course unit title: Computer Vision
Mode of completion and Number of ECTS credits: Exam (6 credits)
Course contents:
Video capture. Features and formats of digital image. Stages of image processing. Brightness transformation a correction. Histogram of shade levels, histogram equalization. Local linear operators. Noise reduction. Fourier transform, filtering in the frequency domain , inverse filtering. Restoring an image at a known degradation. Geometric transformation, image rectification. Detection of features in the image. Edge detection. Pattern recognition. Hough transform. Detection of corner points, thresholding (binary, multilevel), methods for determining the threshold . Binary mathematical morphology. Image segmentation by growing area , cutting and joining area. Algorithms for marking related areas. Color models, chromatic chart, properties. Transformation of color images. Measurement of color difference. Texture - types of textures, texture description methods. Principle of classifiers based on descriptors. Decision rules. Descriptors ( moments, invariants) . Fourier descriptors. Recognition of areas according to shape. Recognition baseon of use of artificial intelligence methods. 3D vision. Transformation of coordinates. Homogeneous coordinate system. Inverse perspective view. Camera model. Perspective projection. Coordinate transformation Homogeneous coordinate system. Inverse perspective view. External and internal parameters of the camera. Camera callibration . Triangulation using one camera. The use of structured light. Stereopair, epipolar geometry. Stereopair normal configuration. Correspondence problem. Detecting corner points.


Last modification made by RNDr. Marian Puškár on 05/09/2019.

Type of output: