COMP4113

Computer Vision and Pattern Recognition 计算机视觉和模式识别

Computer Science and Technology, Data Science · DST · Major Elective Courses · 3 Units

Course Descriptions

This course covers basic concepts in computer vision and pattern recognition. Topics include image sensing and camera perception, 2D image analysis such as filters, edge detection and Hough transform, pattern classification, physics-based vision, stereo and motion, and solid model recognition. It concludes with current trends and challenges in computer vision and pattern recognition.

Prerequisite

COMP2003 Data Structures and Algorithms

Workload

Workload not available

Modules

Modules not available

Overall Score

?/10

Last updated: 5 years, 9 months ago