An experimental scene dynamic perception algorithm for intelligent beaker
Zhiquan Feng, Hongyue Wang, Changsheng Ai, Haiyan Shao · Second IYSF Academic Symposium on Artificial Intelligence and Computer Engineering · 2021
In middle school intelligent chemistry experiments, experimenters often perceive the scene information through Kinect and other fixed cameras. There is a serious occlusion problem, which makes this method almost infeasible. Therefore, this paper puts forward a research idea of setting a micro camera on the beaker for the first time. The main contribution of this work is to propose a 3D reconstruction algorithm of experimental scene based on mobile camera. The main innovation lies in the process of obtaining two images of the same laboratory scene from different angles through a moving binocular camera, then using the point cloud to reconstruct the three-dimensional shape of the experimental instrument in the scene and restore the spatial position information of the object. In order to reconstruct the experimental instrument information better in the chemical experiment scene, this paper integrates the model of transforming the picture from RGB to HSV based on the traditional binocular 3D reconstruction algorithm, which is also another innovation of this paper.