Eian J, Poppele R E
Department of Neuroscience, 321 Church Street, SE, University of Minnesota, Minneapolis, MN 55455, USA.
J Neurosci Methods. 2002 Oct 15;120(1):65-83. doi: 10.1016/s0165-0270(02)00191-7.
We describe a novel method for recovering the three-dimensional (3D) point geometry of an object from images acquired with a single-camera. Typically, multiple cameras are used to record 3D geometry. Occasionally, however, there is a need to record 3D geometry when the use of multiple cameras is either too costly or impractical. The algorithm described here uses single-camera images and requires in addition that each marker on the object be linked to at least one other marker by a known distance. The linkage distances are used to recover information about the third dimension that would otherwise be lost in single-camera two-dimensional images. The utilities of the method are its low-cost, simplicity, and ease of calibration and implementation. We were able to estimate 3D distances and positions as accurately as with a commercially available multi-camera 3D system. This method may be useful in pilot studies to determine whether 3D imaging systems are required, or, it can serve as a low-cost alternative to multi-camera systems.
我们描述了一种从单相机采集的图像中恢复物体三维（3D）点几何形状的新方法。通常，需要使用多个相机来记录3D几何形状。然而，偶尔也会出现这样的情况，即使用多个相机成本过高或不切实际，此时就需要记录3D几何形状。这里描述的算法使用单相机图像，此外还要求物体上的每个标记与至少一个其他标记通过已知距离相连。这些连接距离用于恢复关于第三维度的信息，否则这些信息会在单相机二维图像中丢失。该方法的优点是成本低、简单，并且易于校准和实施。我们能够像使用市售多相机3D系统一样准确地估计3D距离和位置。这种方法在初步研究中可能有用，可用于确定是否需要3D成像系统，或者，它可以作为多相机系统的低成本替代方案。
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