Journal ArticleDOI
Denoising of continuous-wave time-of-flight depth images using confidence measures
TLDR
This work proposes specific variants of normalized convolution and me- dian filtering, both adaptive and nonadaptive, to the denoising of the range images of time-of-flight range sensors with on-chip continuous-wave correlation of radio frequency-modulated signals.Abstract:
Time-of-flight range sensors with on-chip continuous-wave correlation of radio frequency-modulated signals are increasingly popu- lar. They simultaneously deliver depth maps and intensity images with noise and systematic errors that are unique for this particular kind of data. Based on recent theoretical findings on the dominating noise pro- cesses, we propose specific variants of normalized convolution and me- dian filtering, both adaptive and nonadaptive, to the denoising of the range images. We examine the proposed filters on real-world depth maps with varying reflectivity, structure, overexposure, and illumination. The best results are obtained by adaptive filters that locally adjust the level of smoothing using the estimated modulation amplitude as a mea-read more
Citations
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Book ChapterDOI
Semi-Global Matching: A Principled Derivation in Terms of Message Passing
TL;DR: The first principled explanation of this empirically successful semi-global matching algorithm is offered, and its exact relation to belief propagation and tree-reweighted message passing is clarified.
Journal ArticleDOI
User-Independent Intent Recognition for Lower Limb Prostheses Using Depth Sensing
TL;DR: A user-independent intent recognition framework has the potential to decrease or eliminate the time required for extensive data collection regiments for intent recognizer training, which could accelerate the introduction of robotic lower limb prostheses to the market.
Proceedings ArticleDOI
Real-time preprocessing for dense 3-D range imaging on the GPU: Defect interpolation, bilateral temporal averaging and guided filtering
TL;DR: A generic and modality-independent pipeline for efficient RI data preprocessing on the graphics processing unit (GPU) and it is shown that the transformation from range measurements to 3-D world coordinates can be computed efficiently on the GPU.
Patent
Depth camera compatibility
TL;DR: In this article, the authors provide compatibility between a depth image consumer and a plurality of different depth image producers by converting the native depth image to a virtual depth image having supported virtual depth camera parameters that are compatible with the consumer.
Patent
Method for alignment of low-quality noisy depth map to the high-resolution colour image
TL;DR: In this article, a method for the generation of a depth-view image from a set of input images of a scene taken at different cameras of a multi-view imaging system is described.
References
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Book
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Bradley Efron,Robert Tibshirani +1 more
TL;DR: This article presents bootstrap methods for estimation, using simple arguments, with Minitab macros for implementing these methods, as well as some examples of how these methods could be used for estimation purposes.
Journal ArticleDOI
Nonlinear total variation based noise removal algorithms
TL;DR: In this article, a constrained optimization type of numerical algorithm for removing noise from images is presented, where the total variation of the image is minimized subject to constraints involving the statistics of the noise.
Journal ArticleDOI
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Proceedings ArticleDOI
Bilateral filtering for gray and color images
Carlo Tomasi,Roberto Manduchi +1 more
TL;DR: In contrast with filters that operate on the three bands of a color image separately, a bilateral filter can enforce the perceptual metric underlying the CIE-Lab color space, and smooth colors and preserve edges in a way that is tuned to human perception.
Proceedings ArticleDOI
A non-local algorithm for image denoising
TL;DR: A new measure, the method noise, is proposed, to evaluate and compare the performance of digital image denoising methods, and a new algorithm, the nonlocal means (NL-means), based on a nonlocal averaging of all pixels in the image is proposed.