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所在平台: Coursera专项课程 课程类别: 计算机科学 大学或机构: CourseraNew |
课程主页: https://www.coursera.org/specializations/computervision
课程评论：没有评论
课程总结：计算机视觉专业化 本课程名为“计算机视觉专业化”，将于2019年12月4日停止接受新学员，建议有兴趣的学员在此日期之前报名，以便访问课程内容并获得专业认证。 该专业化课程为快速发展的计算机视觉研究领域奠定基础，为学员设计复杂视觉应用提供必要的知识。学员将探索支撑视觉应用的核心元素，包括图像编辑、自动驾驶车辆的交通标志识别以及工厂机器人如何在同事周围导航等。课程内容涵盖图像处理和先进的视觉技术，并结合计算机视觉领域顶尖专家的见解，使学员获得实践经验，通过在线实验室使用MATLAB和相关工具编写计算机视觉程序。 课程使用MATLAB及其计算机视觉工具箱进行教学，学员需具备基本的编程技能，理解for循环和if/else语句，尤其是在MATLAB方面（Mathworks提供基础教程）。学员还应熟悉以下内容：基本线性代数（矩阵向量运算和符号）、三维坐标系统与变换、基础微积分（导数和积分）及基本概率（随机变量）。 在课程期间，MathWorks将提供免费的MATLAB安装许可。 课程大纲包括： 1. 计算机视觉基础 2. 图像处理、特征与分割 3. 立体视觉、密集运动与跟踪 4. 视觉识别与理解 该专业化课程为希望在计算机视觉领域深入学习的学员提供了系统的知识体系与丰富的实践经历。
Computer Vision Basics
Image Processing, Features & Segmentation
Stereo Vision, Dense Motion & Tracking
Visual Recognition & Understanding
NOTE: This specialization is closing to new enrollments on December 4, 2019. Enroll prior to this date if you'd like to access content and earn a specialization certificate. This specialization provides a foundation in the rapidly expanding research field of computer vision, laying the groundwork necessary for designing sophisticated vision applications. Learners explore the integral elements that enable vision applications, ranging from editing images to reading traffic signs in self-driving cars to factory robots navigating around human co-workers. Content includes image processing and state-of-the-art vision techniques, augmented by insights from top leaders in the computer vision field. Learners gain hands-on experience writing computer vision programs through online labs using MATLAB and supporting toolboxes. The specialization is taught in MATLAB* using computer vision and supporting toolboxes. Learners should have basic programming skills and experience (understanding of for loops, if/else statements), specifically in MATLAB (Mathworks provides the basics here: https://www.mathworks.com/learn/tutorials/matlab-onramp.html). Learners should also be familiar with the following: basic linear algebra (matrix vector operations and notation), 3D co-ordinate systems and transformations, basic calculus (derivatives and integration) and basic probability (random variables). A free license to install MATLAB for the duration of the course is available from MathWorks.
