Intelligent projecting method capable of adapting to projection surface automatically

Abstract

The invention discloses an intelligent projecting method capable of adapting to a projection surface automatically. In the method, the image projected by a projector is calibrated geometrically by a computer vision process according to the shape and position of the projection surface, so that the image projected on the projection surface is free from deformation and the influences of a complex projection environment on the visual effect of the projector are eliminated. The intelligent projection system has an independent real-time online calibration system, people do not participate in the projection calibration process, and the mounting and regulating process of the projector is simplified considerably; the processing and analysis of acquired data by the computer vision process reduce the operation cost of a projection system; and the projection environment and projector posture information can be obtained automatically, and the projector can be placed freely for projecting deformation-free images without being limited by space.

Description

technical field [0001] The present invention relates to a large-scale projection in the field of scientific research and education (scientific visualization), various simulation fields (virtual reality), entertainment and conferences (pervasive computing environment, fidelity projection under complex indoor backgrounds such as wall corners), and meteorological traffic. An intelligent projection method adaptive to the projection surface in the field of screen monitoring and display. Background technique [0002] The self-calibration of the projector that is adaptive to the projection surface means that the projector automatically judges the relative positional relationship between the projection surface and the projector itself, as well as the spatial geometric information of the projection surface, and then pre-transforms the image so that the image can be projected on the projection surface. Produces a visually consistent effect. The core of the geometric correction algori...

AI Technical Summary

Problems solved by technology

Most of these methods are based on a good projection environment and need to set some features around the screen so that the system can identify the target projection area. The disadvantage is that the correction process is relatively complicated and has strict requirements on data acquisition and projector position.

However, this method fixes more than two cameras within the scope of the room, and then calibrates the cameras and projectors, which cannot move freely and has poor adaptability to the environment.

Ashdown proposed a geometric correction algorithm suitable for multi-plane stitching, which uses linear structured light to identify the seams of multiple planes, and can move the projector and camera freely, but this method limits the type of projection surface and is not suitable for general curved surfaces

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