電腦視覺

臺北科技大學 114-2 學期課程，課號 359835。

課程大綱

本課程在介紹電腦視覺的基本概念與使用技術. 課程內容包含: 1.introduction to computer vision 2.geometric camera calibration 3.illumination 4.geometry of multiple view 5.structure from motion 6.segmentation by clustering 7.tracking models 8.model-based vision 9.image-based rendering. The goal of this course is to introduce the basic concepts and techniques of computer vision. The outline of this course includes: 1.introduction to computer vision 2.geometric camera calibration 3.illumination 4.geometry of multiple view 5.structure from motion 6.segmentation by clustering 7.tracking models 8.model-based vision 9.image-based rendering.

課程進度

Digital Image Formation Image Geometry, Sampling and Quantization, Image Definition 3 Optics, Digital Image Acquisition Lens Equation, Image Resolution, Depth of Field, View Volume 6 Image Manipulation Image Filtering, Image Enhancement, Image Restoration in Spatial and Frequency Domain 9 Binary Image Processing Thresholding, Geometric Properties, Projections, Run-Length Encoding, Binary Algorithms, Morphologic Operators, OCR 9 Region and Edges Region Segmentation, Region Representation, Split and Merge, Region Growing 6 Image Features Gradient, Edge Detection, Corner Detection, Image Approximation, Subpixel Location Estimation, Edge Detector Performance 9 Hough Transform, Ellipse Fitting Hough Transform, Line Detection, Circle Fitting, Ellipse Fitting 6 Active Contours Active Contour Models 3 Term Project Presentation Student Term Project and Presentation 3

評量方式

Homework, Project, Exam

教材

【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】 使用外文原文書：是 E. Trucco and A. Verri, Introductory Techniques for 3-D Computer Vision, Prentice Hall, 1998.