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Noisy depth maps are processed by a probabilistic depth fusion framework based on Mixtures of Gaussians to denoise and derive the depth uncertainty, which is then propagated throughout the visual odometry pipeline.
One measure asked about the participants' previous experience with topographic maps since experience has been found to influence how maps are processed by the user (Montello, Sullivan, & Pick, 1994).
The estimated flow and growth are shown in (B1) and (C1), respectively, for the case in which 4 maps are considered, in (B2) and (C2) in the case in which 6 maps are used, and in (B3) and (C3) for the case in which 16 maps are processed.
The two feature maps are processed by separated neuronal pathways (channels).
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However, differences in image quality between the phase maps obtained by PS-DSPI and SC-DSPI can be found after partial enlargement of the original phase maps is processed.
Spatial maps were processed by using an alternative hypothesis test based on the fitting a Gaussian/Gamma mixture model to the distribution of voxel intensities within spatial maps and a posterior probability threshold of p > 0.5.
Peptide maps were processed (MS-Fit, Protein Prospector) for protein identification in the NCBI Data Bank.
The FTIR-RM maps were processed as mineral and proteins maps (area under the ν3 PO4and under the amides peaks, respectively), and displayed as color contour maps along with the visual map that was obtained with the same FTIR microscope lens.
The map is processed to extract skin samples, used to create a local skin color model.
Factors such as these could also affect the accuracy of parameter calibration for f and R, which eventually lead to error compounding as mapping is processed.
The obtained skin probability map is processed to determine the initial skin seeds (annotated as red pixels inside the black regions in Figure 2(c)).
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