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An Incremental Target-Adapted Strategy for Active Geometric Calibration of Projector-Camera Systems

机译：投影机-摄像机系统主动几何校准的增量目标自适应策略

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摘要

The calibration of a projector-camera system is an essential step toward accurate 3-D measurement and environment-aware data projection applications, such as augmented reality. In this paper we present a two-stage easy-to-deploy strategy for robust calibration of both intrinsic and extrinsic parameters of a projector. Two key components of the system are the automatic generation of projected light patterns and the incremental calibration process. Based on the incremental strategy, the calibration process first establishes a set of initial parameters, and then it upgrades these parameters incrementally using the projection and captured images of dynamically-generated calibration patterns. The scene-driven light patterns allow the system to adapt itself to the pose of the calibration target, such that the difficulty in feature detection is greatly lowered. The strategy forms a closed-loop system that performs self-correction as more and more observations become available. Compared to the conventional method, which requires a time-consuming process for the acquisition of dense pixel correspondences, the proposed method deploys a homography-based coordinate computation, allowing the calibration time to be dramatically reduced. The experimental results indicate that an improvement of 70% in reprojection errors is achievable and 95% of the calibration time can be saved.
机译：投影机-摄像机系统的校准是朝着精确的3D测量和环境感知数据投影应用（例如增强现实）迈出的重要一步。在本文中，我们提出了一种两阶段易于部署的策略，用于对投影仪的内部和外部参数进行稳健的校准。该系统的两个关键组成部分是自动生成投影光图案和增量校准过程。基于增量策略，校准过程首先建立一组初始参数，然后使用动态生成的校准图案的投影图像和捕获图像对这些参数进行增量升级。场景驱动的光模式使系统能够适应校准目标的姿势，从而大大降低了特征检测的难度。该策略形成了一个闭环系统，随着越来越多的观测结果可用，该系统将执行自我校正。与传统方法相比，传统方法需要耗时的过程来获取密集的像素对应关系，因此该方法部署了基于单应性的坐标计算，从而大大减少了校准时间。实验结果表明，可以将重投影误差提高70％，并且可以节省95％的校准时间。

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