Superpixel-based depth image super-resolution

Soh, Yongseok; Sim, Jae Young; Lee, Sang Uk

doi:10.1117/12.909848

Cited by 12 publications

(11 citation statements)

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“…Some studies [139,123] relax it in order to circumvent the problems discussed below and avoid the resulting artefacts. However, depth edges are in any case a sensitive issue.…”

Section: Image-guided Depth Upsamplingmentioning

confidence: 99%

Image-guided ToF depth upsampling: a survey

Eichhardt

Chetverikov

Jankó

2017

Machine Vision and Applications

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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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“…Some studies [139,123] relax it in order to circumvent the problems discussed below and avoid the resulting artefacts. However, depth edges are in any case a sensitive issue.…”

Section: Image-guided Depth Upsamplingmentioning

confidence: 99%

Image-guided ToF depth upsampling: a survey

Eichhardt

Chetverikov

Jankó

2017

Machine Vision and Applications

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“…This may lead to the so-called texture copying (transfer) by Algorithm 3. (See [37], [32] for discussions of the texture transfer problem.) The Algorithm 2 produces less texture copying but it occasionally cuts into regions of input colour image resized depth depths upsampled with Algorithms 2 (left) and 3 (right) Fig.…”

Section: New Algorithm For Video-based Upsamplingmentioning

confidence: 99%

Novel methods for image-guided ToF depth upsampling

Eichhardt

Jankó

Chetverikov

2016

2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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Abstract-Sensor fusion is an important part of modern cyberphysical systems that observe and analyse real-world environments. Time-of-Flight depth cameras provide high frame rate low-resolution depth data that can be efficiently used in many applications related to cyber-physical systems. In this paper, we address the critical issue of upsampling and enhancing the low-quality depth data using a calibrated and registered highresolution colour image or video. Two novel algorithms for image-guided depth upsampling are proposed based on different principles. A new method for video-guided upsampling is also presented. Initial test results on synthetic and real data are shown and discussed.

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“…The main assumption is that depth discontinuities are often related to color changes in the corresponding regions in the color image. Yongseok et al 5 proposed a depth image super-resolution algorithm based on RGB image segmentation. The input depth image is upsampled to the same size as the input color image using a bicubic interpolation.…”

Section: Related Workmentioning

confidence: 99%

Joint upsampling and noise reduction for real-time depth map enhancement

et al. 2014

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An efficient system that upsamples depth map captured by Microsoft Kinect while jointly reducing the effect of noise is presented. The upsampling is carried by detecting and exploiting the piecewise locally planar structures of the downsampled depth map, based on corresponding high-resolution RGB image. The amount of noise is reduced by accumulating the downsampled data simultaneously. By benefiting from massively parallel computing capability of modern commodity GPUs, the system is able to maintain high frame rate. Our system is observed to produce the upsampled depth map that is very close to the original depth map both visually and mathematically.

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Superpixel-based depth image super-resolution

Cited by 12 publications

References 0 publications

Image-guided ToF depth upsampling: a survey

Image-guided ToF depth upsampling: a survey

Novel methods for image-guided ToF depth upsampling

Joint upsampling and noise reduction for real-time depth map enhancement

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