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Zivid 2M+ 60 leads commercial depth sensors in medical accuracy tests

A new research paper compares the accuracy of four commercial depth sensors for medical applications. The study evaluated stereo, structured-light, and time-of-flight sensors on various specimens, including bone, tissue, and a phantom, to assess performance under challenging conditions like homogeneous and specular surfaces. The Zivid 2M+ 60 sensor demonstrated the best overall accuracy across all tested objects and metrics. AI

IMPACT This research could inform the selection of depth sensing hardware for AI-driven medical imaging and surgical robotics.

RANK_REASON The cluster contains a research paper published on arXiv detailing experimental results.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

COVERAGE [2]

  1. arXiv cs.CV TIER_1 English(EN) · Pit Henrich, Maximilian Weiherer, Franziska Hansen, Bernhard Egger, Franziska Mathis-Ullrich ·

    Comparing Commercial Depth Sensor Accuracy for Medical Applications

    arXiv:2606.13028v1 Announce Type: cross Abstract: 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 co…

  2. arXiv cs.CV TIER_1 English(EN) · Franziska Mathis-Ullrich ·

    Comparing Commercial Depth Sensor Accuracy for Medical Applications

    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 hom…