Abstract
This paper proposes an efficient multi-view 3D reconstruction method based on randomization and propagation scheme. Our method progressively refines a 3D model of a given scene by randomly perturbing the initial guess of 3D points and propagating photo-consistent ones to their neighbors. While finding local optima is an ordinary method for better photo-consistency, our randomization and propagation takes lucky matchings to spread better points replacing old ones for reducing the computational complexity. Experiments show favorable efficiency of the proposed method accompanied by competitive accuracy with the state-of-the-art methods.
| Original language | English |
|---|---|
| Pages (from-to) | 16597-16614 |
| Number of pages | 18 |
| Journal | Multimedia Tools and Applications |
| Volume | 75 |
| Issue number | 23 |
| DOIs | |
| Publication status | Published - 2016 Dec 1 |
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All Science Journal Classification (ASJC) codes
- Software
- Media Technology
- Hardware and Architecture
- Computer Networks and Communications
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Multi-view 3D reconstruction by random-search and propagation with view-dependent patch maps. / Uh, Youngjung; Byun, Hyeran.
In: Multimedia Tools and Applications, Vol. 75, No. 23, 01.12.2016, p. 16597-16614.Research output: Contribution to journal › Article
TY - JOUR
T1 - Multi-view 3D reconstruction by random-search and propagation with view-dependent patch maps
AU - Uh, Youngjung
AU - Byun, Hyeran
PY - 2016/12/1
Y1 - 2016/12/1
N2 - This paper proposes an efficient multi-view 3D reconstruction method based on randomization and propagation scheme. Our method progressively refines a 3D model of a given scene by randomly perturbing the initial guess of 3D points and propagating photo-consistent ones to their neighbors. While finding local optima is an ordinary method for better photo-consistency, our randomization and propagation takes lucky matchings to spread better points replacing old ones for reducing the computational complexity. Experiments show favorable efficiency of the proposed method accompanied by competitive accuracy with the state-of-the-art methods.
AB - This paper proposes an efficient multi-view 3D reconstruction method based on randomization and propagation scheme. Our method progressively refines a 3D model of a given scene by randomly perturbing the initial guess of 3D points and propagating photo-consistent ones to their neighbors. While finding local optima is an ordinary method for better photo-consistency, our randomization and propagation takes lucky matchings to spread better points replacing old ones for reducing the computational complexity. Experiments show favorable efficiency of the proposed method accompanied by competitive accuracy with the state-of-the-art methods.
UR - http://www.scopus.com/inward/record.url?scp=84975223406&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84975223406&partnerID=8YFLogxK
U2 - 10.1007/s11042-016-3621-x
DO - 10.1007/s11042-016-3621-x
M3 - Article
AN - SCOPUS:84975223406
VL - 75
SP - 16597
EP - 16614
JO - Multimedia Tools and Applications
JF - Multimedia Tools and Applications
SN - 1380-7501
IS - 23
ER -