对比四款商用深度传感器在医学场景下的精度表现。
Comparing Commercial Depth Sensor Accuracy for Medical Applications
- 在猪骨、猪腹和硅胶肾模型上测试四种深度传感器
- Zivid 2M+ 60 在所有物体和指标中表现最优
- 适合需要高精度深度数据的医疗成像研究者
深度估计在医疗和外科领域应用广泛。本文在约50厘米距离下，基于探针采样参考数据，对四种深度传感器在猪骨标本、猪腹标本和硅胶肾模型上的性能进行了评估。这些样本包含均质表面、镜面反射和次表面散射等真实世界挑战。被测传感器包括立体视觉、结构光和飞行时间类型：Intel RealSense D405（美国）、PMD Flexx2（德国）、Stereolabs ZED 2i（法国）和Zivid 2M+ 60（挪威）。结果显示，Zivid 2M+ 60在所有物体和评价指标中表现最佳；ZED在真实组织上排名第二，但在硅胶模型上垫底。
原文摘要 · Abstract (English)
Depth estimation has numerous medical and surgical applications. We benchmark four depth sensors on a porcine bone specimen, a porcine belly specimen, and a silicone kidney phantom using stylus-sampled references. These objects contain several real-world challenges, including homogeneous surfaces, specular surfaces, and subsurface scattering. The comparison includes stereo, structured-light, and time-of-flight sensors at a distance of approximately 50 cm. Specifically, the Intel RealSense D405 (Intel RealSense, United States), PMD Flexx2 (pmdtechnologies, Germany), Stereolabs ZED 2i (Stereolabs, France), and Zivid 2M+ 60 (Zivid, Norway) are compared. The Zivid 2M+ 60 performed best across all objects and metrics considered in this work. The ZED ranked second for real tissue, but last on the phantom.
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