Calibration Experiences of Multiple RGB/Depth Visions for Capturing a Surgical Area

Calibration Experiences of Multiple RGB/Depth Visions for Capturing a Surgical Area
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用于捕获手术区域的多个 RGB/深度视觉的校准经验

DOI:
10.1007/978-3-319-91244-8_6
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发表时间:
2018
期刊:
In: Kurosu M. (eds) Human-Computer Interaction. Interaction in Context. HCI 2018. Lecture Notes in Computer Science, Springer
影响因子:
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通讯作者:
Noborio H.
Noborio H.
中科院分区:
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文献类型:
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作者:
Onishi K.;Tanaka Y.;Mizushino K.;Tachibana K.;Watanabe K.;Noborio H.

文献摘要

相似文献

在过去的一年里,我们开发了一些多摄像机系统来测量手术区域,并在我们的实验室获得了一些捕获结果。在本文中,为了评估多相机系统,我们首先检查如何基于许多地标校准三个RGB/深度相机。然后,当医生使用显微镜进行显微手术时,他/她升高或降低相机。在这种情况下,我们评估每个像素处的深度变化或每个相机的深度图像内的所有像素的平均值。在评价方法中,它是在五个不同的距离测量深度值。通过这次评估,我们研究了我们的捕获系统的性能。
In the last year, we developed some multiple camera system to measure a surgical area and get several capturing results in our laboratory. In this paper, in order to evaluate the multiple camera system, we first check how to calibrate three RGB/Depth cameras based on many landmarks. Then, when a doctor uses a microscope for the microsurgery, he/she raises or lowers the camera. In this case, we evaluate depth changes at each pixel or the average of all pixels within depth image of each camera in distance. In the evaluation method, it is measure the depth values at five different distance. Through this evaluation, we study about the performance of our capturing system.