Time-of-Flight Imaging in Fog Using Polarization Phasor Imaging

Zhang, Yixin; Wang, Xia; Zhao, Yuwei; Fang, Yujie

doi:10.3390/s22093159

Cited by 6 publications

(2 citation statements)

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“…As a passive approach, polarized imaging in visible and infrared spectrum plays a critical role in specific circumstances, like underwater imaging [6], image dehaze [7], etc. In 3D imaging fields, polarization cues are also used in different types of depth sensing techniques such as stereo vision [8,9], structured light [10,11] and TOF imaging [12,13], achieving better performance in challenging conditions. Besides, Shape-from-Polarization (SfP) is a classical method for shape acquisition based on polarization cues [14].…”

Section: Introductionmentioning

confidence: 99%

Depth Recovery With Large-Area Data Loss Guided by Polarization Cues for Time-of-Flight Imaging

et al. 2023

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Time-of-Flight imaging is one of the quintessential techniques in three-dimensional reconstruction. However, depth missing is a common problem in Time-of-Flight imaging, which can be classified into structure-based depth loss and large-area one according to various reasons. Large-area depth loss generally occurs due to close-range overexposure resulting in limited dynamic range in depth sensing. Compared to structure-based depth loss, the recovery of large-area depth missing is more challenging and has been rarely studied. In this paper, a large-area depth recovery framework guided by polarization cues is proposed stemmed from a solid physical basic concerning depth and polarization, to realize high dynamic range in applications. Inspired by RGB-D system and shape-from-polarization technique, a dual camera system is utilized including infrared Time-of-Flight camera and visible polarized camera. A physical model between depth map and polarization cues, specifically depth-gradient and degree-of-polarization, is investigated and established. Based on the physical basics, a corresponding polarization-guided depth recovery algorithm with statistical analysis and image processing approach is introduced. Experimental results towards different targets demonstrate the effectiveness of the proposed method qualitatively and quantitatively, accompanied with outcome analysis and detailed discussions about strengths and future works, which indicates a great potential for the applications of high-quality three-dimensional reconstruction and depth sensing.INDEX TERMS Depth recovery, Time-of-Flight imaging, polarization cues

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Section: Introductionmentioning

confidence: 99%

Depth Recovery With Large-Area Data Loss Guided by Polarization Cues for Time-of-Flight Imaging

et al. 2023

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“…Furthermore, research results have particular reference values for other applications requiring a uniform laser spot, such as medical treatment and welding. Zhang et al [ 5 ] propose a polarization phasor imaging method for image recovery in foggy scenes with the assistance of ToF cameras. With the introduction of metalens, Qu et al [ 6 ] propose a dual-wavelength achromatic metalens that generates one or two foci according to the polarization of the incident.…”

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confidence: 99%