Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Spring Semester
Year 2018 242328 Man-Machine System 1 3.0 3 ★ 　 GAT 0 0 0313【停開】

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2018	242328	Man-Machine System	1	3.0	3	★		GAT	0	0	0313【停開】

Course Plan：

Instructor Chun-Wei Yeh

Email YehCW1009@gmail.com

Last Updated 2017-12-22 15:20:46

Course Objective 本課程涵蓋全面的API(Application Programming Interface)開發內容，從最初設計到實作、測試、文件、發行、版本控制、維護和棄用。並跟所上第一學期開設之數位影像處理、機器視覺與影像演算及高等精密量測搭配，進行影像處理及機器視覺軟體之介面設計與開發。其中包含1. API實作：動態連結程式庫（DLL）基本程式設計 2. C# 人機介面開發：解析 CVIPTools 所採用之框架，實際設計影像處理軟體 3. 簡介工業用機器視覺函式庫之開發，並提供相關設計概念 4. 介紹三維人機介面軟體: 以Open Source Project – CloudCompare為例。 (1) 無相關背景的同學可透過課程的介紹，快速了解何謂API設計。 (2) 同學可實際開發及應用自己的函式庫 (需自行撰寫程式)。 (3) 透過案例分析來學習API的實務設計經驗 – CVIPTools (包裝 CVIPTools 所提供之函式及相關演算法)。 (4) 以C# 進行人機介面開發，呼叫自行包裝之API來設計影像處理軟體。 (1) Teaching Objective Introducing Man-Machine Interface (MMI), especially in the development of application programming interface (API). This course is the extension of the courses of “digital image processing”, “machine vision and image processing algorithm” and “advanced precision metrology” in the first semester in GIAT. (2) Course Syllabus The focuses of this course are the Qualities, Patterns, Design, Styles, C++ usage, Performance, Versioning, Documentation, Testing, Scripting and Extensibility of API. The interfaces of the digital image processing and machine vision software will be introduced using C# language. Course features: 1. API practice: Building Dynamic Link Library (DLL) 2. Development of C# MMI: Analyzing the framework of CVIPTools to design image processing software 3. Introduction of machine vision library: Introducing the concepts of the machine vision library, iVision 4. Introduction of 3D MMI software: Introducing the Open Source Project - CloudCompare

Course Schedule 教學內容週時數核心能力/技術項目 1 1hr 課程大綱、進度及評量標準 (加退選) 2 3hr 導論 3 3hr 實作案例 1 – API 函式庫建立 (Visual C++ & C#) 4 3hr API品質、API模式 5 3hr API設計、API風格 6 3hr 實作案例 2 – C# 影像處理軟體框架建立 7 3hr 實作案例 3 – C# 影像處理軟體 API 應用 8 3hr 期中報告 9 3hr API – C++的用法 10 3hr API效能、API版本 11 3hr API文件、API測試 12 3hr 實作案例 4 –機器視覺函式庫人機介面設計概念與相關 API 應用 13 3hr API腳本 14 3hr API可擴展性 – 以Python 呼叫影像處理函式庫 15 3hr Open Source Project (CloudCompare) 基本安裝與測試 16 3hr Open Source Project (CloudCompare) 解析其類別關聯性 17 3hr 實作案例 5 – CloudCompare API應用 18 3hr 期末報告 Week Hours Content 1 1hr Introduction to Man-Machine System 2 3hr Introduction to API Design 3 3hr Practice 1 – API library (Visual C++ & C#) 4 3hr API Qualities、API Patterns 5 3hr API Design、API Styles 6 3hr Practice 2 – C# framework of image processing software 7 3hr Practice 3 – C# API in image processing software 8 3hr Mid-term Report 9 3hr API – C++ usage 10 3hr API Performance、API Versioning 11 3hr API Documentation、API Testing 12 3hr Practice 4 – Concepts of machine vision library, iVision 13 3hr API Scripting 14 3hr API Extensibility – the usage of image processing API in python 15 3hr Open Source Project (CloudCompare) Setup and Test 16 3hr Open Source Project (CloudCompare) Relationship of the classes 17 3hr Practice 5 – CloudCompare API 18 3hr Final Project

Evaluation and grading policy 作業: 40% 期中報告: 30% 期末專題報告: 30% Homework 40 % Mid-term Report 30 % Final Project 30 %

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
1. API design for C++, Martin Reddy, Elsevier, 2011. or API design for C++ (中譯本: C++ API 設計), Martin Reddy, 吳京子及林昆穎譯, , 2014. 2. Digital image processing and analysis – Human and computer vision applications with CVIPtools, 2nd edition, Scott E Umbaugh, CRC Press, 2011. 3. CloudCompare http://www.danielgm.net/cc/

The access to curricular consultation

Note
　

Instructor	Chun-Wei Yeh
Email	YehCW1009@gmail.com
Last Updated	2017-12-22 15:20:46
Course Objective	本課程涵蓋全面的API(Application Programming Interface)開發內容，從最初設計到實作、測試、文件、發行、版本控制、維護和棄用。並跟所上第一學期開設之數位影像處理、機器視覺與影像演算及高等精密量測搭配，進行影像處理及機器視覺軟體之介面設計與開發。其中包含1. API實作：動態連結程式庫（DLL）基本程式設計 2. C# 人機介面開發：解析 CVIPTools 所採用之框架，實際設計影像處理軟體 3. 簡介工業用機器視覺函式庫之開發，並提供相關設計概念 4. 介紹三維人機介面軟體: 以Open Source Project – CloudCompare為例。 (1) 無相關背景的同學可透過課程的介紹，快速了解何謂API設計。 (2) 同學可實際開發及應用自己的函式庫 (需自行撰寫程式)。 (3) 透過案例分析來學習API的實務設計經驗 – CVIPTools (包裝 CVIPTools 所提供之函式及相關演算法)。 (4) 以C# 進行人機介面開發，呼叫自行包裝之API來設計影像處理軟體。 (1) Teaching Objective Introducing Man-Machine Interface (MMI), especially in the development of application programming interface (API). This course is the extension of the courses of “digital image processing”, “machine vision and image processing algorithm” and “advanced precision metrology” in the first semester in GIAT. (2) Course Syllabus The focuses of this course are the Qualities, Patterns, Design, Styles, C++ usage, Performance, Versioning, Documentation, Testing, Scripting and Extensibility of API. The interfaces of the digital image processing and machine vision software will be introduced using C# language. Course features: 1. API practice: Building Dynamic Link Library (DLL) 2. Development of C# MMI: Analyzing the framework of CVIPTools to design image processing software 3. Introduction of machine vision library: Introducing the concepts of the machine vision library, iVision 4. Introduction of 3D MMI software: Introducing the Open Source Project - CloudCompare
Course Schedule	教學內容週時數核心能力/技術項目 1 1hr 課程大綱、進度及評量標準 (加退選) 2 3hr 導論 3 3hr 實作案例 1 – API 函式庫建立 (Visual C++ & C#) 4 3hr API品質、API模式 5 3hr API設計、API風格 6 3hr 實作案例 2 – C# 影像處理軟體框架建立 7 3hr 實作案例 3 – C# 影像處理軟體 API 應用 8 3hr 期中報告 9 3hr API – C++的用法 10 3hr API效能、API版本 11 3hr API文件、API測試 12 3hr 實作案例 4 –機器視覺函式庫人機介面設計概念與相關 API 應用 13 3hr API腳本 14 3hr API可擴展性 – 以Python 呼叫影像處理函式庫 15 3hr Open Source Project (CloudCompare) 基本安裝與測試 16 3hr Open Source Project (CloudCompare) 解析其類別關聯性 17 3hr 實作案例 5 – CloudCompare API應用 18 3hr 期末報告 Week Hours Content 1 1hr Introduction to Man-Machine System 2 3hr Introduction to API Design 3 3hr Practice 1 – API library (Visual C++ & C#) 4 3hr API Qualities、API Patterns 5 3hr API Design、API Styles 6 3hr Practice 2 – C# framework of image processing software 7 3hr Practice 3 – C# API in image processing software 8 3hr Mid-term Report 9 3hr API – C++ usage 10 3hr API Performance、API Versioning 11 3hr API Documentation、API Testing 12 3hr Practice 4 – Concepts of machine vision library, iVision 13 3hr API Scripting 14 3hr API Extensibility – the usage of image processing API in python 15 3hr Open Source Project (CloudCompare) Setup and Test 16 3hr Open Source Project (CloudCompare) Relationship of the classes 17 3hr Practice 5 – CloudCompare API 18 3hr Final Project
Evaluation and grading policy	作業: 40% 期中報告: 30% 期末專題報告: 30% Homework 40 % Mid-term Report 30 % Final Project 30 %
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes 1. API design for C++, Martin Reddy, Elsevier, 2011. or API design for C++ (中譯本: C++ API 設計), Martin Reddy, 吳京子及林昆穎譯, , 2014. 2. Digital image processing and analysis – Human and computer vision applications with CVIPtools, 2nd edition, Scott E Umbaugh, CRC Press, 2011. 3. CloudCompare http://www.danielgm.net/cc/
The access to curricular consultation
Note