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To illustrate the detection of foreground objects using 3D ToF information, the background subtraction method based on the reference image model has been used.
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A set of synthetic recordings based on the image-source model has been generated to test the separation performance of the proposed method under a close-microphone setup.
For a great variety of images, this model has been proven to hold for values of the parameter γ such that |γ| ≤ 1.
In brief, for almost all images, our model has the lowest both time-cost and iterations, which shows that the implementation of our method is more efficient than the other three models in MATLAB.
doi: 10.7554/eLife.01064 Image A fly model has provided fresh insights into a disorder that affects the peripheral nervous system While human genetics is essential for the discovery of new genes associated with inherited diseases, studies in animal models are critical for understanding the underlying mechanisms and pathways.
The L0-AbS method is based on a simple image model, which has two statistical parameters: α, controlling the amount of sparsity of the sparse approximation of the image in the representation domain, and σ r, which is the standard deviation of the sparse approximation from the actual vector of the image in the representation domain.
A comprehensive QA process from image acquisition to completed model has been developed.
From the introduction of biomechanical model-based constraint [16 18] into the medical image community, the biomechanical model has attracted great attention because of its physiologically meaningful representation of myocardial dynamics.
However, this model has dual image stabilization and a 12MP CCD sensor capable of capturing images up to ISO 6400 and recording video at 720p.
According to HR-STM image, their theoretical molecular model had been constructed and given in Fig. 4d.
Experimental results demonstrated the fact that PLSA-based image modeling schemes have shown to perform remarkably well in large-scale image mining operations.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com