Detailed Information
Cited 0 time in 
Cited 1 time in 
Cited 1 time in
Metadata Downloads
On high-computational disparity acquisition of HD image using CUDA implementation for stereo matching
- Authors
- Cho H.-J.[Cho H.-J.]; Shim S.-K.[Shim S.-K.]; Kim S.-H.[Kim S.-H.]; Kim J.-H.[Kim J.-H.]; Cho J.-D.[Cho J.-D.]
- Issue Date
- 2015
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- CUDA; Disparity map acquisition; GPGPU; High-Definition; Search range estimation; Stereoscopic
- Citation
- ISOCC 2015 - International SoC Design Conference: SoC for Internet of Everything (IoE), pp.155 - 156
- Journal Title
- ISOCC 2015 - International SoC Design Conference: SoC for Internet of Everything (IoE)
- Start Page
- 155
- End Page
- 156
- Abstract
- In this paper, we propose disparity map acquisition of high definition image using CUDA with new search range estimation algorithm. Our proposed search range estimation method uses SSD with processing in gray scale image only. To perform high speed computation of disparity map, we used shared memory in CUDA, and utilize SSD as a matching algorithm to apply for a 9 by 9 window to 1240×1110 image, with using search range length of 250. Our experimental results showed that our method achieved 31fps on the average using NVIDIA GeForce 770. © 2015 IEEE.
- 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.