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3D reconstruction based on light field images
- Source :
- Ninth International Conference on Graphic and Image Processing (ICGIP 2017).
- Publication Year :
- 2018
- Publisher :
- SPIE, 2018.
-
Abstract
- This paper proposed a method of reconstructing three-dimensional (3D) scene from two light field images capture by Lytro illium. The work was carried out by first extracting the sub-aperture images from light field images and using the scale-invariant feature transform (SIFT) for feature registration on the selected sub-aperture images. Structure from motion (SFM) algorithm is further used on the registration completed sub-aperture images to reconstruct the three-dimensional scene. 3D sparse point cloud was obtained in the end. The method shows that the 3D reconstruction can be implemented by only two light field camera captures, rather than at least a dozen times captures by traditional cameras. This can effectively solve the time-consuming, laborious issues for 3D reconstruction based on traditional digital cameras, to achieve a more rapid, convenient and accurate reconstruction.
- Subjects :
- Light-field camera
Feature transform
business.industry
Computer science
3D reconstruction
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
0211 other engineering and technologies
Point cloud
Scale-invariant feature transform
02 engineering and technology
law.invention
law
Feature (computer vision)
Computer Science::Computer Vision and Pattern Recognition
0202 electrical engineering, electronic engineering, information engineering
Structure from motion
020201 artificial intelligence & image processing
Computer vision
Artificial intelligence
business
Light field
ComputingMethodologies_COMPUTERGRAPHICS
021101 geological & geomatics engineering
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Ninth International Conference on Graphic and Image Processing (ICGIP 2017)
- Accession number :
- edsair.doi...........de22dd0b59d2c714a4224141c7afd4c5