关键信息
关于内容
In this course you will learn about the basics of how computation has impacted the entire workflow of photography (i.e., from how images are captured, manipulated and collaborated on, and shared).
课程大纲
Week 0 (Module 0): Introductions with an overview of the course structure and content. Topics covered in this module include a description of what is Computational Photography (i.e., whereby examples of dual photography and panoramas are described) and reasons for studying this emerging interdisciplinary field .
Week 1 (Module 1): Overview of what is a digital image. Topics covered in this module are image processing and filtering, with emphases placed upon point processes, smoothing, convolution, cross-correlation, gradients and edges.
Week 2 (Module 2): Overview of cameras with emphases placed upon the pinhole camera and optics (e. g., lenses, focal length), exposure time and sensors.
Week 3 (Module 3): Feature detection, matching and correspondence. The panorama pipeline and some examples. HDR and tone mapping.
Week 4 (Module 4): Overview of light fields, texture synthesis, image retargeting, video, advanced topics.
教师
- Irfan Essa - School of Interactive Computing
- - Georgia Tech Professional Education
内容设计师
平台
Coursera是一家数字公司，提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。
Coursera与顶尖大学和组织合作，在线提供一些课程，并提供许多科目的课程，包括：物理，工程，人文，医学，生物学，社会科学，数学，商业，计算机科学，数字营销，数据科学 和其他科目。
