Research on Artificial Intelligence-Based Bullet Time Virtual Shooting System
Aiming at the problems of discontinuity sense,inability to deduct background,system instability and ex-pensive equipment cost of bullet time virtual system,we propose an artificial intelligence-based bullet time system.Our system employs an inexpensive webcam array to construct the shooting system,adopts a customized calibration and data transmission scheme,and employs embedded devices as data relays.For the post-processing of the output,a pre-trained neural network is used to assist in completing frame stitching and optimization work.Experiments show that the system solves the problem of discontinuity sense and deduction of background in bullet time video,ensures the stability of the system and the usability of the output,and,drastically reduces the cost of building such systems.
万方数据
维普
