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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.
Holes and wrongly estimated depth points (outliers) might also exist.
Figure 10 Rendered right image based on real depth map (a), estimated depth map by our approach (b), and estimated depth map by [ 12 ] (c).
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.
First, an estimated depth value D E q is obtained for each hole pixel q:(u,v) in VI t.
Figure 6b e demonstrates the results of motion cue, contrast cue, estimated depth map, and synthesized image, respectively.
Estimated depth values are found with a simple linear equation: ẑ ( x ) = A x ̃, x ̃ = [ x, 1 ], x ∈ Ω x 0. (12).
Furthermore, interpolation and recursive temporal filtering of the initially estimated depth maps are performed to make depth edges conform to color edges and avoid depth fluctuation, respectively.
An upper gastrointestinal series showed a 12-mm Type 0-IIc lesion on the lesser curvature of the remnant stomach with an estimated depth within the mucosa (T1a).
On the other hand, MV interpolation is capable of increasing the spatial resolution of the estimated depth image for better 3D perception quality.
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