Denoising 3D images from time-of-flight cameras using extended anisotropic diffusion

Schöner, Holger

doi:10.1117/2.1201210.004496

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2017

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“…C1 is the method proposed in [12] and C2 also includes morphological filters. M2 AF refers to a test of the proposed method in mode 2, and anisotropic diffusion filtering [23]. Table 1: Performance metrics Figure 6 shows a real range scene and the result of the proposed method for background subtraction.…”

Section: Resultsmentioning

confidence: 99%

Background Subtraction for Time of Flight Imaging

Giacomantone

Violini

Lorenti

2017

JC&ST

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A time of flight camera provides two types of images simultaneously, depth and intensity. In this paper a computational method for background subtraction, combining both images or fast sequences of images, is proposed. The background model is based on unbalanced or semi-supervised classifiers, in particular support vector machines. A brief review of one class support vector machines is first given. A method that combines the range and intensity data in two operational modes is then provided. Finally, experimental results are presented and discussed.

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Section: Resultsmentioning

confidence: 99%