Interference artifacts suppression in systems with multiple depth cameras

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

doi:10.1109/tsp.2019.8768877

Cited by 8 publications

(7 citation statements)

References 8 publications

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“…Data removed from the median frame could be reconstructed by using bilinear interpolation as an example. The effect and influence of different interpolation are discussed in Reference [ 25 ].…”

Section: Methodsmentioning

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: Methodsmentioning

confidence: 99%

Real-Time Interference Artifacts Suppression in Array of ToF Sensors

Volák

Bajzík

Janisova

et al. 2020

Sensors

Self Cite

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“…In our previous study [25], we described interference artifacts, which occur while scanning using ToF sensors. The interference is present also using several SLS sensors: projected patterns are overlaid on the surface of objects.…”

Section: Measuring Of Accuracy Of Rgb-d Sensorsmentioning

confidence: 99%

“…Number of frames taken by "one shot" helps to provide temporal filtering of data. Considering our study [25], resulting depth image from given view is a product of averaging the stack of images in buffer. This averaging helps to eliminate noise artifacts in 3D reconstruction.…”

Section: Graphical User Interface Of Systemmentioning

confidence: 99%

Usage of RGB-D Multi-Sensor Imaging System for Medical Applications

Hargaš¹,

Koniar²

2023

Vision Sensors - Recent Advances

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This chapter presents an inclusion of 3D optical (RGB-D) sensors into medical clinical practice, as an alternative to the conventional imaging and diagnostic methods, which are expensive in many aspects. It focuses on obstructive sleep apnea, the respiratory syndrome that occurs in an increasing proportion of the population, including children. We introduce the novel application, a response to the request for an alternative pre-diagnostic method for obstructive sleep apnea in the region of Slovakia. The main objective of the proposed system is to obtain an extensive dataset of scans (head and face) from various views and add detailed information about patient. The application consists of the 3D craniofacial scanning system using multiple depth camera sensors. Several technologies are presented with the proposed methodology for their comprehensive comparison based on depth sensing and evaluation of their suitability for parallel multi-view scanning (mutual interference, noise parameters). The application also includes the assistance algorithm guaranteeing the patient’s head positioning, graphical interface for scanning management, and standardized EU medical sleep questionnaire. Compared to polysomnography, which is the golden standard for this diagnostics, the needed data acquisition time is reduced significantly, the same with the price and accessibility.

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“…Therefore, light interference reduction strategies are necessary when using multi-ToF-camera setups [5]- [9]. One option is to reduce interference artifacts in post-processing by statistical calculations [8], [10]. Preferably, interference is already reduced during image acquisition by applying channel access methods.…”

Section: Introductionmentioning

confidence: 99%

Interference Avoidance for Two Time-of-Flight Cameras Using Autonomous Optical Synchronization

Wermke

Wubbenhorst

Meffert

2020

2020 6th International Conference on Control, Automation and Robotics (ICCAR)

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Time-of-Flight (ToF) cameras acquire 3-D images where each pixel relates to the distance in the observed scene. These images are acquired by emitting modulated light and measuring the phase of its reflection from an object. Improvements in ToF camera technology make it a promising alternative to current 3-D imaging sensors despite possessing comparatively lower resolution. Overcoming lower resolution, of single ToF camera images, is achieved using a multi-camera setup. However, the simultaneous operation of multiple ToF cameras causes interference resulting in erroneous depth measurements. An option to mitigate interference is the arrangement of multiple cameras in a consecutive order sharing the same frequency in assigned time slots, such that each camera illuminates the scene exclusively, a procedure known as time division multiple access (TDMA). The assignment of acquisition times is usually performed by a master synchronizing device implementing a time synchronization protocol that requires an additional communication channel. This paper presents a different approach requiring no additional infrastructure to utilize TDMA by adding a synchronization software procedure to the camera's microprocessor which effectively enables a camera to sense the acquisition process of other cameras and rapidly synchronize itself autonomously to operate without interference. Experimental results with two ToF cameras provide substantive evidence of the efficacy of this approach. The operation of the standalone cameras achieved the desired synchronization without illumination interference. The proposed synchronization procedure takes advantages of the zero interference of TDMA and overcomes traditional hard-wired synchronization setups, offering an autonomous and potentially mobile operation of ToF camera deployment.

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Interference artifacts suppression in systems with multiple depth cameras

Cited by 8 publications

References 8 publications

Real-Time Interference Artifacts Suppression in Array of ToF Sensors

Real-Time Interference Artifacts Suppression in Array of ToF Sensors

Usage of RGB-D Multi-Sensor Imaging System for Medical Applications

Interference Avoidance for Two Time-of-Flight Cameras Using Autonomous Optical Synchronization

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