Abstract
Geometric information such as depth obtained from light fields
finds more applications recently. Where and how to sample
images to populate a light field is an important problem to
maximize the usability of information gathered for depth reconstruction.
We propose a simple analysis model for view
sampling and an adaptive, online sampling algorithm tailored
to light field depth reconstruction. Our model is based on the
trade-off between visibility and depth resolvability for varying
sampling locations, and seeks the optimal locations that best
balance the two conflicting criteria.
finds more applications recently. Where and how to sample
images to populate a light field is an important problem to
maximize the usability of information gathered for depth reconstruction.
We propose a simple analysis model for view
sampling and an adaptive, online sampling algorithm tailored
to light field depth reconstruction. Our model is based on the
trade-off between visibility and depth resolvability for varying
sampling locations, and seeks the optimal locations that best
balance the two conflicting criteria.
| Original language | English |
|---|---|
| Publication status | Published - 23 Sept 2015 |
| Event | 22nd IEEE International Conference on Image Processing 2015 - Quebec City, Canada Duration: 27 Sept 2015 → 30 Sept 2015 Conference number: 22 |
Conference
| Conference | 22nd IEEE International Conference on Image Processing 2015 |
|---|---|
| Abbreviated title | ICIP 2015 |
| Country/Territory | Canada |
| City | Quebec City |
| Period | 27/09/15 → 30/09/15 |