Computer Vision Detection, Recognition and Reconstruction (Studies in Computational Intelligence (5), Band 285)
pdf | 18.35 MB | English | Author :Author | 2019

Book Description :

Learn to create inventive programs on your Opencv3 and Python―with no programming experience required. Discover how to configure, write Python scripts, create user-friendly GUIs.Projects include a object detection by find object with camera, tracking motion. Hands-on Machine Learning and Object, face/yes detection, recognize handwriting, pedstrian detecting.

•Computer vision and application fields
•Setup Opencv3 -python on windowns/ Mac/ Ubuntu or Raspberry-Pi
•Interface image and video I/O, drawing line rectangle, window management, event handling
•NumPy and Matplotlib
•Basic image processing, ROI(Region of Interest), color space, threshold, image arithmetic, histogram
•Geometric transform image , translate, scaling, rotate, warping, lens distortion
•Image filter with function convolution filter, blurring, edge detection, morphology, image pyramids
•Image segmentation with find contour, hough transform, connected component
•Matching and tracking with similar picture, feature and key point, descriptor extractor, feature matching and tracking
•Machine Learning and Object Detection with 1k-Means, 2k-NN, SVM and HOG, Cascade Classifier

Category : | Pattern Recognition, Computer Image Processing, Computer Vision & Pattern Recognition