This course involves computer vision, signal processing, deep learning and other fields of knowledge. It elaborates with the latest academic achievements and practical cases of industrial scenes and explain the classic and state-of-the-art methods in computer vision. By studying this course, students can learn basic theories and advanced methods in computer vision, and by understanding and exploring practical problems in the industry, enhance their cognitive ability and innovative ability to solve problems in computer vision.
mainly introduces the concept of computer vision, image composition and basic image processing algorithms and introduces the neural network and deep learning framework.
explains in detail the most cutting-edge research direction calculation method in the field of vision and the algorithm model optimization and performance improvement methods in visual scenes.
covers the practical problems faced by computer vision and the solution ideas in combination with the specific scenes of industry.
As a computer vision course offered by university and industry, the course has four advantages:
- Focus on Both Classics and Frontiers: This course starts with the basics of computer vision and classical algorithms, and at the same time involves the most cutting-edge algorithms in this field, and covers the current knowledge in the field of computer vision;
- Combination of Academia and Industry: The course teaching will combine the algorithm theory of academia with the most realistic application in the industry, and improve your application and practical ability through analysis and experiments;
- Teaching from the shallower to the deeper: Compared with similar computer vision courses, this course comprehensively sorts out the knowledge structure in the field of computer vision，and is very friendly to greenhands. This course will explain in-depth algorithms and cases, which will bring great improvement to students with a foundation;
- University-Industry joint teaching: As a leading company in the field of computer vision, SenseTime will introduce a wealth of practical cases and computing resources to the course. Furthermore, it will combine the high-quality teaching experience so that students can better complete the course and improve personal competitiveness.