Work

Introducing AI to Undergraduate Students via Computer Vision Projects

Year: 2018

Type: conference-paper

Abstract: 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.

Source: Proceedings of the AAAI Conference on Artificial Intelligence

DOI: 10.1609/aaai.v32i1.11403

Authors: Kaiman Zeng, Yancheng Li, Yida Xu, Di Wu, Nansong Wu

Institution: Arkansas Tech University

Language: English

Topic: Problem and Project Based Learning

Subfield: Education

Field: Social Sciences

Domain: Social Sciences

SDG: Quality education

Open Access status: diamond

Funder: Arkansas Tech University