Multi-camera interference cancellation of time-of-flight (TOF) cameras

Li, Lianhua; Xiang, Sen; You, Yang; Yu, Li

doi:10.1109/icip.2015.7350860

Cited by 19 publications

(15 citation statements)

References 7 publications

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“…These techniques separate the reflections from the nearby cameras; yet, they require the cameras to be upgraded such that the cameras can operate on sinusoidal modulation. Recently, in [167], the authors proposed a least square estimation method to mitigate the inter-camera interference where the interference signal was proved to be a wide-sense stationary stochastic process.…”

Section: Occ-based Localization and Navigationmentioning

confidence: 99%

Optical camera communications: Survey, use cases, challenges, and future trends

Saeed

Guo

Park

et al. 2019

Physical Communication

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Recently, a camera or an image sensor receiver based optical wireless communications (OWC) techniques have attracted particular interest in areas such as the internet of things, indoor localization, motion capture, and intelligent transportation systems. As a supplementary technique of high-speed OWC based on photo-detectors, communications hinging on image sensors as receivers do not need much modification to the current infrastructure, such that the implementation complexity and cost are quite low. Therefore, in this paper, we present a comprehensive survey of optical camera communication (OCC) techniques, and their use in localization, navigation, and motion capture. This survey is distinguishable from the existing reviews on this topic by covering multiple aspects of OCC and its various applications. The first part of the paper focuses on the standardization, channel characterization, modulation, coding, synchronization, and signal processing techniques for OCC systems while the second part of the article presents the literature on OCC based localization, navigation, motion capture, and intelligent transportation systems. Finally, in the last part of the paper, we present the challenges and future research directions of OCC.(OCC) [5]. FSO communication systems consist of a laser diode (LD) transmitter and a photodiode (PD) receiver. It typically relies on UV or visible bands, offers high rate transmission in a long distance, and can be used for a backhaul of communication networks. However, FSO communications need a strict alignment, and consequently, their cost at transceivers is high. Also, FSO communication systems suffer from atmospheric turbulence which can be mitigated by using different statistical channel models [6,7,8,9,10], robust modulation techniques [11,12], and accurate pointing and tracking methods [13,14,15]. On the other hand, VLC hinging on visible bands is an LD or light emitting diode (LED) transmitter and PD receiver-based medium-range communication technology. VLC is capable of offering high data rate within a range of tens of meters but does not consider multiple user access. The advancement of VLC systems has also led to enable various location aware indoor applications. Recently, several indoor localization systems based on VLC are proposed [16,17,18,19,20]. Interested readers are referred to [21,22], and the references therein for VLC based indoor localization and tracking methods. Nevertheless, the VLC technology suffers from both limited coverage and interference. Increasing the field of view of the LEDs improves the coverage; however, it increases the interference at the receiver. Signal-to-interference ratio based methods can be used to analyze the coverage and interference problems in VLC systems [23]. Different from VLC, Li-Fi is an LED transmitter based light networking technology that involves multiple user access, bidirectional communications, multi-cell handover, etc. The emerging Li-Fi supports mobile communica-

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Section: Occ-based Localization and Navigationmentioning

confidence: 99%

Optical camera communications: Survey, use cases, challenges, and future trends

Saeed

Guo

Park

et al. 2019

Physical Communication

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“…If they work simultaneously at the same frequency, they would interfere with each other. This problem limits the application of multiple camera systems and needs to be solved by some strategies [171], [172].…”

Section: Future Trends a Multiple Camera Systemmentioning

confidence: 99%

Recent Advances in 3D Data Acquisition and Processing by Time-of-Flight Camera

Chen

2019

IEEE Access

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Three-dimensional (3D) data acquisition and real-time processing is a critical issue in an artificial vision system. The developing time-of-flight (TOF) camera as a real-time vision sensor for obtaining depth images has now received wide attention, due to its great potential in many areas, such as 3D perception, computer vision, robot navigation, human-machine interaction, augmented reality, and so on. This paper survey advances in TOF imaging technology mainly from the last decade. We focus only on recent progress of overcoming limitations such as systematic errors, object boundary ambiguity, multipath error, phase wrapping, and motion blur, and address the theoretical principles and future research trends as well. INDEX TERMS Vision sensor, time of flight, depth image, sensing device, computer vision, 3D vision.

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“…In our experiments, the effect was not pronounced, and no specific filter was used to remove such potential artifacts. Details of timeof-flight camera interference are discussed by Li et al [27], who also proposed a filtering strategy.…”

Section: Preprocessingmentioning

confidence: 99%

FusionMLS: Highly dynamic 3D reconstruction with consumer-grade RGB-D cameras

et al. 2018

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Multi-view dynamic three-dimensional reconstruction has typically required the use of custom shutter-synchronized camera rigs in order to capture scenes containing rapid movements or complex topology changes. In this paper, we demonstrate that multiple unsynchronized low-cost RGB-D cameras can be used for the same purpose. To alleviate issues caused by unsynchronized shutters, we propose a novel depth frame interpolation technique that allows synchronized data capture from highly dynamic 3D scenes. To manage the resulting huge number of input depth images, we also introduce an efficient moving least squares-based volumetric reconstruction method that generates triangle meshes of the scene. Our approach does not store the reconstruction volume in memory, making it memory-efficient and scalable to large scenes. Our implementation is completely GPU based and works in real time. The results shown herein, obtained with real data, demonstrate the effectiveness of our proposed method and its advantages compared to stateof-the-art approaches.

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Multi-camera interference cancellation of time-of-flight (TOF) cameras

Cited by 19 publications

References 7 publications

Optical camera communications: Survey, use cases, challenges, and future trends

Optical camera communications: Survey, use cases, challenges, and future trends

Recent Advances in 3D Data Acquisition and Processing by Time-of-Flight Camera

FusionMLS: Highly dynamic 3D reconstruction with consumer-grade RGB-D cameras

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