ArticleSensors (Basel, Switzerland)2018
Single-Photon Tracking for High-Speed Vision.
Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Noise Suppressed Image Reconstruction for Quanta Image Sensors Based on Transformer Neural Networks.Journal of imaging · 2025Article
- The Way to Modern Shutter Speed Measurement Methods: A Historical Overview.Sensors (Basel, Switzerland) · 2022Review
- An Optical Filter-Less CMOS Image Sensor with Differential Spectral Response Pixels for Simultaneous UV-Selective and Visible Imaging.Sensors (Basel, Switzerland) · 2019Article
- Long-range depth imaging using a single-photon detector array and non-local data fusion.Scientific reports · 2019Article
- High performance planar germanium-on-silicon single-photon avalanche diode detectors.Nature communications · 2019Article
- Effect of the Transition Points Mismatch on Quanta Image Sensors.Sensors (Basel, Switzerland) · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quanta Imager Sensors provide photon detections at high frame rates, with negligible read-out noise, making them ideal for high-speed optical tracking. At the basic level of bit-planes or binary maps of photon detections, objects may present limited detail. However, through motion estimation and spatial reassignment of photon detections, the objects can be reconstructed with minimal motion artefacts. We here present the first demonstration of high-speed two-dimensional (2D) tracking and reconstruction of rigid, planar objects with a Quanta Image Sensor, including a demonstration of depth-resolved tracking.
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Registered trials
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