“A spatial-temporal method to refine a depth image” by Jang, Park, Lee, Jeong, Lim, et al. …
Conference:
Type(s):
Entry Number: 10
Title:
- A spatial-temporal method to refine a depth image
Presenter(s)/Author(s):
Abstract:
In this poster, a spatial-temporal depth image refinement is proposed. First, we perform a spatial denoising by applying Joint Bilateral Filter(JBF) to an image pyramid iteratively. Second, we employ a signed distance function(SDF) [Curless 1996] to obtain an optimal depth image from the depth video in which the temporal noise occurs between video frames.
References:
1. Curless, V., Levoy M. 1996. A volumetric method for building complex models from range images. In Proceedings of of the 23rd annual conference on Computer graphics and interactive techniques, 303–312.
Keyword(s):
Additional Images:
![©In Yeop Jang, Min Ki Park, Seung Joo Lee, Sun Jong Jeong, Kyu Je Lim, Yong Hwi Kim, and Kwan H. Lee](https://history.siggraph.org/wp-content/uploads/2022/12/2013-Poster-10-Jang_A-spatial-temporal-method-to-refine-a-depth-image-04.jpg)
![©In Yeop Jang, Min Ki Park, Seung Joo Lee, Sun Jong Jeong, Kyu Je Lim, Yong Hwi Kim, and Kwan H. Lee](https://history.siggraph.org/wp-content/uploads/2022/12/2013-Poster-10-Jang_A-spatial-temporal-method-to-refine-a-depth-image-05.jpg)
Acknowledgements:
This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government( MEST) (No.2013031191).