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Kecerdasan Artifisial
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ILMU TEKNIK
TEKNIK ELEKTRO DAN INFORMATIKA
Teknik Informatika
MV 1
Topik1 - Introduction to Machine Vision
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Szeliski. (2010). Computer Vision: Algorithms and Applications. Springer. London. ISBN-13: 978-1848829343. ISBN-10: 1848829345
Chapter 1
1. Szeliski. (2010). Computer Vision: Algorithms and Applications. Springer. London. ISBN-13: 978-1848829343. ISBN-10: 1848829345
Chapter 1
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The Computer Vision Homepage
Annotated Computer Vision Bibliography
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SM2-Image Formation
SM2-Camera Simulator
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Multiresolution Analysis: The Discrete Wavelet Transform
Wavelet Tutorial
OpenCV Tutorial: Harris Corner Detector
Canny Tutorial
OpenCV Tutorial: Canny Edge Detector
OpenCV Tutorial: Harris Corner Detector
Fundamentals of Features and Corners
Tutorial on Fourier Theory
OpenCV: Discrete Fourier Transform
Face Description Using LBP
MIT VisTex database
CVIPtools
RapidMiner Studio
Confusion Matrix
Image Segmentation
A Tutorial on Clustering Algorithms
Introduction to K-means Clustering
Hierarchical Clustering
Multi-Image Matching using Multi-Scale Oriented Patches
Known implementations of SIFT
SIFT on OpenCV
The Computer Vision Homepage ►
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