Near real-time stereo matching using geodesic diffusion.
Publication
, Journal Article
De-Maeztu, L; Villanueva, A; Cabeza, R
Published in: IEEE transactions on pattern analysis and machine intelligence
February 2012
Adaptive-weight algorithms currently represent the state of the art in local stereo matching. However, due to their computational requirements, these types of solutions are not suitable for real-time implementation. Here, we present a novel aggregation method inspired by the anisotropic diffusion technique used in image filtering. The proposed aggregation algorithm produces results similar to adaptive-weight solutions while reducing the computational requirements. Moreover, near real-time performance is demonstrated with a GPU implementation of the algorithm.
Duke Scholars
Published In
IEEE transactions on pattern analysis and machine intelligence
DOI
EISSN
1939-3539
ISSN
0162-8828
Publication Date
February 2012
Volume
34
Issue
2
Start / End Page
410 / 416
Related Subject Headings
- Artificial Intelligence & Image Processing
- 4611 Machine learning
- 4603 Computer vision and multimedia computation
- 0906 Electrical and Electronic Engineering
- 0806 Information Systems
- 0801 Artificial Intelligence and Image Processing
Citation
APA
Chicago
ICMJE
MLA
NLM
De-Maeztu, L., Villanueva, A., & Cabeza, R. (2012). Near real-time stereo matching using geodesic diffusion. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(2), 410–416. https://doi.org/10.1109/tpami.2011.192
De-Maeztu, Leonardo, Arantxa Villanueva, and Rafael Cabeza. “Near real-time stereo matching using geodesic diffusion.” IEEE Transactions on Pattern Analysis and Machine Intelligence 34, no. 2 (February 2012): 410–16. https://doi.org/10.1109/tpami.2011.192.
De-Maeztu L, Villanueva A, Cabeza R. Near real-time stereo matching using geodesic diffusion. IEEE transactions on pattern analysis and machine intelligence. 2012 Feb;34(2):410–6.
De-Maeztu, Leonardo, et al. “Near real-time stereo matching using geodesic diffusion.” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, no. 2, Feb. 2012, pp. 410–16. Epmc, doi:10.1109/tpami.2011.192.
De-Maeztu L, Villanueva A, Cabeza R. Near real-time stereo matching using geodesic diffusion. IEEE transactions on pattern analysis and machine intelligence. 2012 Feb;34(2):410–416.
Published In
IEEE transactions on pattern analysis and machine intelligence
DOI
EISSN
1939-3539
ISSN
0162-8828
Publication Date
February 2012
Volume
34
Issue
2
Start / End Page
410 / 416
Related Subject Headings
- Artificial Intelligence & Image Processing
- 4611 Machine learning
- 4603 Computer vision and multimedia computation
- 0906 Electrical and Electronic Engineering
- 0806 Information Systems
- 0801 Artificial Intelligence and Image Processing