Real-Time Projector Tracking on Complex Geometry Using Ordinary Imagery

Real-Time Projector Tracking on Complex Geometry Using Ordinary Imagery
复制标题

使用普通图像对复杂几何形状进行实时投影仪跟踪

DOI:
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发表时间:
2007
期刊:
2007 IEEE Conference on Computer Vision and Pattern Recognition
影响因子:
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通讯作者:
H. Fuchs
H. Fuchs
中科院分区:
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文献类型:
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作者:
Tyler Johnson;H. Fuchs

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在过去的十年里,文献中广泛报道了使用相机对基于投影仪的显示器进行几何校准。大多数系统在启动应用程序之前的设置阶段都会投射结构光图案,以评估从投影仪像素到显示表面上的位置的几何映射。如果此映射发生变化,例如移动投影仪后,必须停止应用程序并重新启动校准。我们的姿态估计技术基于仅使用投影仪显示的图像来检测移动投影仪和静态相机之间的一组图像对应关系。我们使用预先校准过程来建立显示表面的几何形状、相机的姿态和投影仪的初始姿态。
Using cameras to geometrically calibrate projector-based displays has been widely reported in the literature over the last decade. Most systems project structured-light patterns during a setup phase before starting the application in order to evaluate the geometric mapping from projector pixels to locations on the display surface. If this mapping changes e.g. the projector is moved, the application must be stopped and calibration re-initiated. Our pose estimation technique is based on detecting a set of image correspondences between the moving projector and a static camera using only the imagery displayed by the projector. We use an up-front calibration process to establish the geometry of the display surface, the pose of the camera, and the initial pose of the projector.
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DOI: 10.1007/978-1-4939-7647-8_1
发表时间: 2018
期刊: Neuromethods
影响因子: --
作者:
Joshi,AnandA
通讯作者: Joshi,AnandA