ECCV Paper ID505 Supplemental Images
Approach
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![]() (b) Boundary adjustment |
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![]() (d) Our result |
![]() (e) Residuals of (a) |
![]() (f) Residuals of (b) |
![]() (g) Residuals of (c) |
![]() (h) Residuals of (d) |
![]() (i) Curl with no boundary adjustment |
![]() (j) Boundary weights (blue areas are undefined) |
![]() (k) Curl with our boundary adjustment |
![]() (l) Recontruction weights |
We illustrate the effect of the two parts in our approach: curl reduction at the boundary and weighted reconstruction. As a comparison, the Poisson reconstruction (a) exhibits high residuals, (e), and curl not equating zero, (i), at badly cut regions. Our boundary weights minimize the residuals at badly cut regions (f). The weights illustrated in black adhere to curl equating to zero (j). As a result, the edges are more well-defined as seen in (b). With the weighted reconstruction, the residuals account for the texture of the image as shown in (g). The weights are shown in (k), where white areas represent astringent control of bleeding (g). By combining the curl reduction and weighted reconstruction, the residuals of the edges are reduced while texture is respected in (h). As a result, areas with curl not equating to zero are minimized as shown in (l), producing a more desirable result (d).
Parameters
Instructions: click desired image to view full-sized image.
We refer to equation (5) and (6) parameter changes that govern the boundary weights.
Our used values are:
We vary the following paramters:
low (0.001) | high (1000) * | Our result (4) |
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* results vary dramatically based on image due to high sensitivity
low (0)* | high (1000) | Our result (0.05) |
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low (0.0001) * | high (1000) | Our result (0.005) |
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* results vary dramatically based on image due to high sensitivity
low (0.0001) | high (1000)* | Our result (0.5) |
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* time-performance decrease
low (0.001) | high (1000)* | Our result (2) |
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