Time-of-Flight Cameras - Principles, Methods and Applications
By Miles E. Hansard, Seungkyu Lee, O. Choi, Radu Patrice Horaud. Springer Briefs in Computer Science, 2013
392 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/275654aee729ad3c7d8995fd42f0af28cfb67051
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Citations in the corpus
- Multi-modality imagery database for plant phenotyping (2016, methodology): “The depth sensor uses a flash near IR illuminator and measures the time-of-flight of the beam at each pixel to obtain depth estimates at each pixel [Hansard et al., 2013].”
- Gesture recognition for human-robot collaboration: A review (2017, background): “The fundamental principle of the ToF technology is to identify light travel time (Hansard et al., 2012).”
- High-speed 3D shape measurement with structured light methods: A review (2018, background): “…the time-of-flight (TOF) technique uses an active emitter to modulate the light in time domain, an optical sensor collects the light scattered back by the object, recovers depth information by calculating the time delay from the signal leaves the device and the signal returns to the device [3] .”
- Holoportation: Virtual 3D Teleportation in Real-time (2016, unknown): “Another alternative strategy is time-of-flight based depth estimation [22], which has grown to be very popular, however, multi-path issues make this technology unusable in our application.”
- Kinect range sensing: Structured-light versus Time-of-Flight Kinect (2015, unknown): “C V ] 2 0 M ay 2”
- An overview of depth cameras and range scanners based on time-of-flight technologies (2016, unknown): “In turn, this introduces motion blur [Hansard et al., 2013] (chapter 1) in the presence of moving objects.”
- Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer (2019, unknown): “Sensors that provide dense ground-truth depth in dynamic scenes, such as structured light or time-of-flight, have limited range and operating conditions [6], [7], [8].”