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As summarized by [4], most of the existing algorithms follow a two-stage approach: conduct depth estimation based on local groups of input images; fuse the estimated depth values into a global watertight 3D surface estimation.
Quan et al. [16, 24] also represent the estimated depth values as 3D points.
The estimated depth values are then discretized into an octree-based volumetric grid.
On the other hand, MV interpolation is capable of increasing the spatial resolution of the estimated depth image for better 3D perception quality.
To achieve this, the Joint Bilateral Upsampling (JBU) algorithm [21] is first modified to interpolate the estimated depth map and then recursive temporal filtering is performed to eliminate possible 3D perception artifacts (e.g., depth fluctuation) resulting from wrong depth estimations.
As mentioned in the previous section, since there is a tradeoff between the estimated depth and volumetric change, they are not well constrained as compared with the horizontal location.
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Power spectrum curve and the estimated depths of the total intensity magnetic components of the Abu-Rodaym area.
The green, red and blue curves show the distribution of the estimated depths before, during and after the climax event, respectively.
This can be attributed to the presence of binocular rivalry artifacts which are caused by view rendering based on the estimated depths.
We considered sampling sites where 1) both virus and host- associated sequences were present and 2) the estimated depths of coverage of virus and host genomes were at least 0.1%.
The discontinuity depth estimates based on the SRFs at the stations MYKA, ACOM, KBA, MOA and KRUC also correspond to the estimated depths from PRFs along profile BB′ (Fig. 7b).
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