Image-based 3d models reconstruction

Author

Ke Lu ; Xiangyang Wang ; Zhi Wang ; Xiang Li

Author_Institution

Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China

fYear

2011

fDate

14-16 Nov. 2011

Firstpage

482

Lastpage

485

Abstract

Image-based 3D models reconstruction is an important branch of the research area in computer vision, artificial intelligence and virtual reality. An integrated 3D model reconstruction system usually consists of image capture, camera calibration, stereo rectify, feature extraction, stereo matching, depth information computation, mesh reconstruction and texture mapping [1,2]. In our paper, we propose a complete system that covers the steps from image capture to final visual surface reconstruction for objects.

Keywords

artificial intelligence; computer vision; feature extraction; image matching; image reconstruction; mesh generation; solid modelling; stereo image processing; virtual reality; artificial intelligence; camera calibration; computer vision; depth information computation; feature extraction; image capture; image-based 3D model reconstruction; mesh reconstruction; object visual surface reconstruction; stereo matching; stereo rectify; texture mapping; virtual reality; camera calibration; mesh reconstruction; stereo matching;

fLanguage

English

Publisher

iet

Conference_Titel

Wireless Mobile and Computing (CCWMC 2011), IET International Communication Conference on

Conference_Location

Shanghai

Type

conf

DOI

10.1049/cp.2011.0934

Filename

6194889

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2005803