An Approach to Curve Reconstruction from Multiple Images

Author

Weizhong, Zhang ; Chi, Zhang ; Zhenkuan, Pan ; Guanglei, Wang

Author_Institution

Qingdao Univ., Qingdao, China

fYear

2012

fDate

July 31 2012-Aug. 2 2012

Firstpage

171

Lastpage

174

Abstract

In this paper, a method for recovering 3D curves of the free-from object from multiple images with partial occlusion is put forward. To ensure reliability of feature recognition and to heighten the precision of image processing, a set of marked object curves are applied. A method to extract the curves in the images by skeleton extracting and fitting is proposed. The optimization of curve matching between the image pairs is established. The objective function is optimized to reconstruct 3D curves with using the triangulation method and by means of Bundle adjustment. Experimental results demonstrated that the approach is practical and reliable for 3D modeling of free-form objects in the application of industry production.

Keywords

feature extraction; image matching; image recognition; image reconstruction; 3D curves recovery; 3D modeling; bundle adjustment; curve matching; feature recognition; free-form objects; image processing; industry production; multiple image reconstruction; objective function; partial occlusion; skeleton extraction; skeleton fitting; triangulation method; Cameras; Computer vision; Image reconstruction; Optimization; Skeleton; Splines (mathematics); Surface reconstruction; Curve matching; Curve reconstruction; Partial occlusion; Skeleton extracting and fitting;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Manufacturing and Automation (ICDMA), 2012 Third International Conference on

Conference_Location

GuiLin

Print_ISBN

978-1-4673-2217-1

Type

conf

DOI

10.1109/ICDMA.2012.41

Filename

6298281