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A 3D camera for improved facial recognition

机译:3D相机可改善面部识别

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摘要

We describe a camera capable of recording 3D images of objects. It does this by projecting thousands of spots onto an object and then measuring the range to each spot by determining the parallax from a single frame. A second frame can be captured to record a conventional image, which can then be projected onto the surface mesh to form a rendered skin. The camera is able of locating the images of the spots to a precision of better than one tenth of a pixel, and from this it can determine range to an accuracy of less than 1 mm at 1 meter. The data can be recorded as a set of two images, and is reconstructed by forming a 'wire mesh' of range points and morphing the 2 D image over this structure. The camera can be used to record the images of faces and reconstruct the shape of the face, which allows viewing of the face from various angles. This allows images to be more critically inspected for the purpose of identifying individuals. Multiple images can be stitched together to create full panoramic images of head sized objects that can be viewed from any direction. The system is being tested with a graph matching system capable of fast and accurate shape comparisons for facial recognition. It can also be used with "models" of heads and faces to provide a means of obtaining biometric data.
机译:我们描述了一种能够记录物体3D图像的相机。它通过将数千个点投影到一个对象上,然后通过确定单个帧的视差来测量到每个点的距离来实现此目的。可以捕获第二帧以记录常规图像,然后可以将其投影到表面网格上以形成渲染的皮肤。摄像机能够将斑点的图像定位到优于像素的十分之一的精度,并由此确定的距离在1米以内小于1 mm。数据可以记录为两个图像的集合,并通过形成测距点的“金属丝网”并在此结构上对2D图像进行变形来重建。相机可用于记录脸部图像并重建脸部形状,从而可以从各种角度观看脸部。这样可以更严格地检查图像以识别个人。可以将多个图像缝合在一起,以创建可以从任何方向查看的头部大小的对象的完整全景图像。该系统正在通过图形匹配系统进行测试,该系统能够进行快速,准确的形状比较以进行面部识别。它也可以与头部和面部的“模型”一起使用,以提供获取生物特征数据的方法。

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