A Study on OSAS Diagnostics Supported by RGB-D Imaging

Volák, Jozef; Koniar, Dušan; Jablončík, František; Hargaš, Libor

doi:10.1109/tsp.2018.8441456

Cited by 3 publications

(1 citation statement)

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“…Creating the most accurate models of dynamic objects such as the pediatric patient is dependent on the scanning time. With a longer time needed for scanning, the motion artifacts and motion errors are introduced into the resulting model [ 8 ]. In general, motion artifacts can be minimized with a shorter image acquisition time.…”

Section: Related Workmentioning

confidence: 99%

Real-Time Interference Artifacts Suppression in Array of ToF Sensors

Volák

Bajzík

Janisova

et al. 2020

Sensors

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Time of Flight (ToF) sensors are the source of various errors, including the multi-camera interference artifact caused by the parallel scanning mode of the sensors. This paper presents the novel Importance Map Based Median filtration algorithm for interference artifacts suppression, as the potential 3D filtration method. The approach is based on the processing of multiple depth frames, using the extraction of the interference region and application of the interpolation. Considering the limitations and good functionalities of proposed algorithm, the combination with some standard methods was suggested. Performance of the algorithm was evaluated on the dataset consisting of the real-world objects with different texture and morphology against popular filtering methods based on neural networks and statistics.

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Section: Related Workmentioning

confidence: 99%