Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
Principal Depth Estimation Using Cost-Volume Filtering for Fast Stereo Matching
- Authors
- Lim, Jaeseung; Park, Jinho; Park, Hasil; Kim, Heegwang; Paik, Joonki
- Issue Date
- Jan-2018
- Publisher
- IEEE
- Keywords
- Stereo matching; Cost-volume filtering; guided filter; ADAS
- Citation
- 2018 INTERNATIONAL CONFERENCE ON ELECTRONICS, INFORMATION, AND COMMUNICATION (ICEIC), v.2018-January, pp 431 - 432
- Pages
- 2
- Journal Title
- 2018 INTERNATIONAL CONFERENCE ON ELECTRONICS, INFORMATION, AND COMMUNICATION (ICEIC)
- Volume
- 2018-January
- Start Page
- 431
- End Page
- 432
- ISSN
- 2377-8431
- Abstract
- This paper presents an effective method to reduce computational cost of Cost-volume filtering for stereo matching. We first obtain initial depth values by using pixel-wise cost volume and estimate principal depth values for reducing computational cost. The proposed method can be applied to advanced driver assistance system, object recognition, and other algorithms that require 3-D depth information.
- Files in This Item
- There are no files associated with this item.
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.