Abstract
This paper presents a digital three-dimensional reconstruction method based on a set of small-baseline elemental images captured with a micro-lens array and a CCD sensor. In this paper, we adopt the ASIFT (Affine Scale-invariant feature transform) operator as the image registration method. Among the set of captured elemental images, the elemental image located in the middle of the overall image field is used as the reference and corresponding matching points in each elemental image around the reference elemental are calculated, which enables to accurately compute the depth value of object points relatively to the reference image frame. Using optimization algorithm with redundant matching points can achieve 3D reconstruction finally. Our experimental results are presented to demonstrate excellent performance in accuracy and speed of the proposed algorithm.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 427-433 |
| Number of pages | 7 |
| Journal | Optical Review |
| Volume | 22 |
| Issue number | 3 |
| DOIs | |
| State | Published - Mar 31 2015 |
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Keywords
- 3D Reconstruction
- ASIFT operator
- Depth value optimization
- Integral Image
ASJC Scopus subject areas
- Atomic and Molecular Physics, and Optics
Cite this
Digital three-dimensional reconstruction based on integral imaging. / Li, Chao; Chen, Qian; Hua, Hong; Mao, Chen; Shao, Ajun.
In: Optical Review, Vol. 22, No. 3, 31.03.2015, p. 427-433.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Digital three-dimensional reconstruction based on integral imaging
AU - Li, Chao
AU - Chen, Qian
AU - Hua, Hong
AU - Mao, Chen
AU - Shao, Ajun
PY - 2015/3/31
Y1 - 2015/3/31
N2 - This paper presents a digital three-dimensional reconstruction method based on a set of small-baseline elemental images captured with a micro-lens array and a CCD sensor. In this paper, we adopt the ASIFT (Affine Scale-invariant feature transform) operator as the image registration method. Among the set of captured elemental images, the elemental image located in the middle of the overall image field is used as the reference and corresponding matching points in each elemental image around the reference elemental are calculated, which enables to accurately compute the depth value of object points relatively to the reference image frame. Using optimization algorithm with redundant matching points can achieve 3D reconstruction finally. Our experimental results are presented to demonstrate excellent performance in accuracy and speed of the proposed algorithm.
AB - This paper presents a digital three-dimensional reconstruction method based on a set of small-baseline elemental images captured with a micro-lens array and a CCD sensor. In this paper, we adopt the ASIFT (Affine Scale-invariant feature transform) operator as the image registration method. Among the set of captured elemental images, the elemental image located in the middle of the overall image field is used as the reference and corresponding matching points in each elemental image around the reference elemental are calculated, which enables to accurately compute the depth value of object points relatively to the reference image frame. Using optimization algorithm with redundant matching points can achieve 3D reconstruction finally. Our experimental results are presented to demonstrate excellent performance in accuracy and speed of the proposed algorithm.
KW - 3D Reconstruction
KW - ASIFT operator
KW - Depth value optimization
KW - Integral Image
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U2 - 10.1007/s10043-015-0074-9
DO - 10.1007/s10043-015-0074-9
M3 - Article
AN - SCOPUS:84929965484
VL - 22
SP - 427
EP - 433
JO - Optical Review
JF - Optical Review
SN - 1340-6000
IS - 3
ER -