Abstract
This paper presents a new disparity estimation method using an edge-preserving directional regularization technique. This method smooths disparity vectors in smooth regions and preserves edges in object boundaries without oversmoothing problem. Conclusively, we obtain very close matches between a left image and a right image as well as improved coding efficiency.
| Original language | English |
|---|---|
| Pages (from-to) | 376-377 |
| Number of pages | 2 |
| Journal | Digest of Technical Papers - IEEE International Conference on Consumer Electronics |
| Publication status | Published - 1999 Dec 1 |
| Event | Proceedings of the 1999 IEEE International Conference on Consumer Electronics, ICCE'99 - Los Angeles, CA, USA Duration: 1999 Jun 22 → 1999 Jun 24 |
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All Science Journal Classification (ASJC) codes
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering
Cite this
}
Edge-preserving directional regularization technique for disparity estimation of stereoscopic images. / Kim, Mi Hyun; Sohn, Kwang Hoon.
In: Digest of Technical Papers - IEEE International Conference on Consumer Electronics, 01.12.1999, p. 376-377.Research output: Contribution to journal › Conference article
TY - JOUR
T1 - Edge-preserving directional regularization technique for disparity estimation of stereoscopic images
AU - Kim, Mi Hyun
AU - Sohn, Kwang Hoon
PY - 1999/12/1
Y1 - 1999/12/1
N2 - This paper presents a new disparity estimation method using an edge-preserving directional regularization technique. This method smooths disparity vectors in smooth regions and preserves edges in object boundaries without oversmoothing problem. Conclusively, we obtain very close matches between a left image and a right image as well as improved coding efficiency.
AB - This paper presents a new disparity estimation method using an edge-preserving directional regularization technique. This method smooths disparity vectors in smooth regions and preserves edges in object boundaries without oversmoothing problem. Conclusively, we obtain very close matches between a left image and a right image as well as improved coding efficiency.
UR - http://www.scopus.com/inward/record.url?scp=0033347843&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0033347843&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:0033347843
SP - 376
EP - 377
JO - Digest of Technical Papers - IEEE International Conference on Consumer Electronics
JF - Digest of Technical Papers - IEEE International Conference on Consumer Electronics
SN - 0747-668X
ER -