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Literatúra
- [SZELISKI] Richard Szeliski Computer Vision: Algorithms and Applications, 2nd ed. – kniha je voľne dostupná po zadaní emailu.
- [NAYAR] First principles of computer vision – online kurz, videá voľne dostupné + lecture notes (monographs)
- [SONKA] ŠONKA, MIlan, HLAVÁČ, Václav a Roger BOYLE: Image Processing, Analysis, and Machine Vision. – 4. edícia
- [ŠIKUDOVÁ] E. Šikudová, Z. Černeková, W. Benešová, Z. Haladová, and J. Kučerová, Počítačové videnie Detekcia a rozpoznávanie objektov. Praha: Wikina Praha, 2013, p. 397.
- [FORSYTH] Forsyth, D. A., & Ponce, J. (2002). Computer vision: a modern approach.
- OpenCV python tutorials
Témy:
- Úvod do Computer Vision – [SZELISKI] chapter 1 – Introduction, [SZELISKI] Conclusion, [SONKA] chapter 1 – introduction
- Thresholding, binárne obrazy – [SONKA] chapter 6.1
- Metrika, vzdialenosť, susedstvo – [ŠIKUDOVÁ] Morfologické operácie – 4.2. Základné pojmy a definície
- Matematická morfológia – [SONKA] chapter 13 – Mathematical morphology
- Transformácia pixelov, bodové operátory, vyhladzovanie histogramov – [SZELISKI] chapter 3.1.
- Šum – [SONKA] 2.3.6
- Lineárne a nelineárne filtrovanie, konvolúcia – [NAYAR] Imaging -> Image Processing I., [SZELISKI] – 3.2., 3.3.
- Transformácie (vzorkovanie, aliasing, frekvenčná doména (sínusoida, square wave), Fourierová transformácia, Konvolučná veta) – [NAYAR] Imaging -> Image Processing II.
- Geometrické transformácie – [SZELISKI] 3.6, [NAYAR] Features -> Image Stitching
- Detekcia hrán a rohov (Gradient, Laplacian, Cannyho detektor, Harris Corner detection) – [NAYAR] Features -> Edge Detection
- Detekcie (fitting lines, aktívne kontúry, Hough transformácia na čiary a kruhy) – [NAYAR] Features -> Boundary detection
- Template matching – [SONKA] 6.4 Matching
- Segmentácia (k-means, mean shift, GrabCut) – [NAYAR] Perception -> Image Segmentation
- Príznaky – [SZELISKI] 7.1
- SIFT, deskriptor – [NAYAR] Features -> SIFT Detector
- Spájanie obrazov – [NAYAR] Features -> Image Stitching
- Detekcia tváre (Haar features, Integral image, klasifikácia, SVM) – [NAYAR] Features -> Face Detection
- Rozpoznávanie, deep learning, CNN – [SZELISKI] 5
- Image whitening – J. Hadrien
- Textúry (analýza a syntéza) – slajdy, [SZELISKI] 10.5
- Tracking (rozdiel obrázkov, gaussian mixture model, template matching, feature detection) – [NAYAR] Perception -> Object Tracking
- Vznik obrazu – [NAYAR] Imaging -> Image Formation
- 3D – Vnútorná a vonkajšia matica, kalibrácia kamery – [NAYAR] Reconstruction II. -> Camera Calibration resp. (1, 2, 3)
- 3D – epipolárna geometria – [NAYAR] Reconstruction II. -> Uncalibrated Stereo