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SYSTEM AND METHOD FOR ONLINE PROJECTOR-CAMERA CALIBRATION FROM ONE OR MORE IMAGES

机译:用于从一个或多个图像进行在线投影机-摄像机标定的系统和方法

摘要

A system and method for online projector-camera calibration from one or more images is provided. The system (200) comprises: a projector (207), a camera (214), and a calibration device (201) configured to: determine a map (560) between pixels of each of a projector image (440) and a camera image (450) in fewer than one hundred percent of pixels of the projector image (440) using feature extraction; determine an initial estimate of a fundamental matrix from the map (560); determine an initial guess of intrinsic properties of the projector (207) and camera (214) using one or more closed-form solutions; iteratively determine an error-function based on the map (560) using the fundamental matrix while adding constraints on the intrinsic properties using the one or more closed-form solutions, and the initial estimate and guess as initial input; and, when the error-function reaches an acceptance value, determine intrinsic and extrinsic properties of the projector (207) and the camera (214) from current values of iterative estimates.
机译:提供了一种用于从一个或多个图像进行在线投影仪-摄像机校准的系统和方法。系统(200)包括:投影仪(207),照相机(214)和校准设备(201),其被配置为:确定投影仪图像(440)和照相机图像中的每一个的像素之间的地图(560)。 (450)使用特征提取在投影机图像(440)的百分之一百以内的像素;从图确定基本矩阵的初始估计(560);使用一种或多种封闭形式的解决方案确定投影仪(207)和相机(214)的固有属性的初始猜测;使用基本矩阵基于映射(560)迭代地确定误差函数,同时使用一个或多个封闭形式的解,以及将初始估计和猜测作为初始输入,在固有特性上添加约束。当误差函数达到可接受值时,从迭代估计的当前值确定投影仪(207)和照相机(214)的内在和外在特性。

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