Method for maintaining spatial consistency for multi-person augmented reality interaction

Abstract

The invention provides a method for maintaining spatial consistency for multi-person augmented reality interaction. Based on the principle of orientation and location in computer vision, the azimuth angles of a plurality of light sensors distributed on the header display with respect to each base station are obtained by using the Lighthouse base station and the azimuth angle of the base station relative to the head display is obtained by using the front camera of the head display, and the coordinates of each base station in the camera coordinate system of the front camera of the head display are calculated by combining the light sensors of the head display and the known positional relationship between the front camera and the front camera. Further, if three base stations are used to determine the model coordinate system of the virtual scene, the transformation relationship between the head display and the model coordinate system can be established, thereby maintaining the spatial consistency of the multi-person augmented reality interaction, enabling multiple head displays to be tracked with low computational load, and eliminating the need for calibration of multiple base stations.

Description

technical field [0001] The invention belongs to the field of computer vision and relates to a method for maintaining spatial consistency, in particular to a method for maintaining spatial consistency oriented to multi-person augmented reality interaction. Background technique [0002] In recent years, the rapid improvement of computer processor capabilities has provided favorable conditions for the rapid development of virtual reality (Virtual Reality, VR) and augmented reality (Augmented Reality, AR). AR display devices such as HTC Vive, Oculus Rift, Microsoft HoloLens, etc. Multi-person augmented reality interaction is one of the main uses of new AR devices. During the interaction process, the augmented reality scenes observed by all users should be consistent, that is, to maintain spatial consistency. Specifically, it is necessary to acquire the position and attitude (referred to as pose) of a head-mounted display (head-mounted display) device accurately and in real time...

AI Technical Summary

Problems solved by technology

[0005] These two methods have their own advantages and disadvantages: the "outside-in" solution has a simpler structure, and only needs to place infrared point light sources on the surface of the head-mounted display. However, there are still many problems in actual use, such as tracking range and distance. Larger limit

And when the number of headsets to be tracked increases, the amount of calculation will also increase dramatically; the "inside-out" solution is essentially a distributed system, and each sensor is responsible for calculating its own position, so the system has no upper limit on the number of tracks , the disadvantage is that the circuit is complicated, and the base station that emits laser needs to be calibrated in advance

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