RGBD-fusion: Real-time high precision depth recovery

Recently, there has been remarkable growth of interest in the development and applications of Time-of-Flight (ToF) depth cameras. However, despite the permanent improvement of their characteristics, the practical applicability of ToF cameras is still limited by low resolution and quality of depth measurements. This has motivated many researchers to combine ToF cameras with other sensors in order to enhance and upsample depth images. In this paper, we review the approaches that couple ToF depth images with high-resolution optical images. Other classes of upsampling methods are also briefly discussed. Finally, we provide an overview of performance evaluation tests presented in the related studies.

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“…As already mentioned, some techniques for RGBD data processing [144,95,44] enhance fine shape details by calculating surface normals.…”

Section: Upsampling With Stereo and With Multiple Measurementsmentioning

confidence: 99%

“…They can be applied when high precision is not required, or as additional shape cues in combination with other methods. For example, Shape-from-Shading can be used to enhance fine shape details in RGBD data [144,95,44].…”

Section: Introductionmentioning

confidence: 99%

Image-guided ToF depth upsampling: a survey

Eichhardt

Chetverikov

Jankó

2017

Machine Vision and Applications

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“…Polarization enhancement is consistent for each material, though slightly worse for the mirror-like object. Comparison papers that use shading enhancement can only work on Lambertian surfaces [44,14,43,34].…”

Section: Robustness In the Wildmentioning

confidence: 99%

Polarized 3D: High-Quality Depth Sensing with Polarization Cues

Kadambi

Taamazyan

Shi

et al. 2015

2015 IEEE International Conference on Computer Vision (ICCV)

168

100

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Coarse depth maps can be enhanced by using the shape information from polarization cues. We propose a framework to combine surface normals from polarization (hereafter polarization normals) with an aligned depth map. Polarization normals have not been used for depth enhancement before. This is because polarization normals suffer from physics-based artifacts, such as azimuthal ambiguity, refractive distortion and fronto-parallel signal degradation. We propose a framework to overcome these key challenges, allowing the benefits of polarization to be used to enhance depth maps. Our results demonstrate improvement with respect to state-of-the-art 3D reconstruction techniques.

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“…When describing 3D scanner, the interplay of photometric models and the reconstruction can lead to improved results [35,23] and warrants examination. In Equation 2, coefficients a and b capture illumination variability.…”

Section: Photometric Entropy In Active Illumination 3d Scanningmentioning

confidence: 99%