Wenxi Li¹, Marisabel Chang² and Yu Sun², ¹USA, ²California State Polytechnic University, USA

As students learn biology in term of molecule, cells, or proteins, cross section of 2D image is a traditional method study the details of them. However, this method cannot bridge the gap between reality and students’ imagination based on 2D image. This paper proposes a tool which can assist students to learn biology knowledge more effectively through augmented-reality. The experiments on accuracy and performance of the image pattern recognition indicates that FAST algorithm is the best choice currently. It reaches the highest accuracy of 94.5%.

Augment reality, Vuforia, Blender, Unity