VR Collaborative Object Manipulation Based on Viewpoint Quality

We introduce a collaborative manipulation method to improve the efficiency and accuracy of object manipulation in virtual reality applications with multiple users. When multiple users manipulate an object in collaboration, a certain user may have a better perspective than other users at a certain moment, and can clearly observe the object to be manipulated and the target position, and it is more efficient and accurate for him to manipulate the object. We construct a viewpoint quality function and evaluate the viewpoints of multiple users by calculating its three components: the visibility of the object need to be manipulated, the visibility of target, the depth and distance combined of the target. By comparing the viewpoint quality of multiple users, the user with the highest viewpoint quality is determined as the dominant manipulator, who can manipulate the object at the moment. A temporal filter is proposed to filter the dominant sequence generated by the previous frames and the current frame, which reduces the dominant manipulator jumping back and forth between multiple users in a short time slice, making the determination of the dominant manipulator more stable. We have designed a user study and tested our method with three multi-user collaborative manipulation tasks. Compared to the previous methods, our method showed significant improvement in task completion time, rotation accuracy, user participation and task load.