Introducing AI to Undergraduate Students via Computer Vision Projects


  • Kaiman Zeng Arkansas Tech University
  • Yancheng Li Arkansas Tech University
  • Yida Xu Arkansas Tech University
  • Di Wu Arkansas Tech University
  • Nansong Wu Arkansas Tech University



Landmark recognition, Feature detection, Feature description, SURF


Computer vision, as a subfield in the general artificial intelligence (AI), is a technology can be visualized and easily found in a large number of state-of-art applications. In this project, undergraduate students performed research on a landmark recognition task using computer vision techniques. The project focused on analyzing, designing, configuring, and testing the two core components in landmark recognition: feature detection and description. The project modeled the landmark recognition system as a tour guide for visitors to the campus and evaluated the performance in the real world circumstances. By analyzing real-world data and solving problems, student’s cognitive skills and critical thinking skills were sharpened. Their knowledge and understanding in mathematical modeling and data processing were also enhanced.




How to Cite

Zeng, K., Li, Y., Xu, Y., Wu, D., & Wu, N. (2018). Introducing AI to Undergraduate Students via Computer Vision Projects. Proceedings of the AAAI Conference on Artificial Intelligence, 32(1).