Tóm tắt nội dung

Introductory book vision, the challenge. Low - level vision: images and imaging operations; image filtering and morphology; the role of thresholding; edge detection; corner, interest point, and invariant feature detection; texture analysis. Intermediate - level vision: binary shape analysis; boundary; pattern analysis; line, cicrle, and ellipse detection; the generalized hough transform; object segmentation and shape models. Machine learning and deep learning networks: basic classification concepts; machine learning: probabilistic methods; deep - learning networks. 3D vision and motion: the three - dimensional world; tackling the perspective n - point problem; invariants and perspective; image transformations and camera calibration; motion. Putting computer vision to work: face detection and recognition: the impact of deep learning; surveillance; in - vehicle vision systems; epilogue - perspectives in vision.