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Analysis of OpenCV image pipeline principle and implementation of video courses in modules

Share experience and code about image stitching, analyze each process of image stitching process by process, and try coding, laying a solid foundation for in-depth understanding of OpenCV Stitting PipeLine and further writing large-scale image stitching projects.

13585 people study

primary 16 class hours Updated on December 22, 2020

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  • Course Introduction
  • Course outline

Suitable for:

Undergraduate and graduate students, image processing workers, and those interested in image processing

You will learn:

Share experience and code about image stitching, analyze each process of image stitching process by process, and try coding, laying a solid foundation for in-depth understanding of OpenCV Stitting PipeLine and further writing large-scale image stitching projects.

Course introduction:

Share the author's experience and code on image stitching. This course focuses on clarifying the principle and basic image stitching process, and assists OpenCV code implementation to help explain problems. The main contents are divided into five parts, namely:
1. Basic principle of image mosaic.
2. Camera model analysis
3. Analysis of projection model
4. Feature point extraction and matching
5. Alignment and fusion
Each part is divided into 2-3 lessons, involving detailed explanation of relevant mathematical models, coding implementation and relevant parts in image vision, as well as some experience. I hope that you who are eager to learn can deepen your understanding of the principle of image stitching through this courseware, enhance your coding ability, and lay a solid foundation for in-depth understanding of OpenCV Stitting PipeLine and further writing large-scale image stitching projects.


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Course outline- Analysis of OpenCV image pipeline principle and implementation of video courses in modules

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  • Course Introduction
  • Course outline
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