Title :
3D Model retrieval technology based on 3D reconstruction
Author :
Jiawei Zhang ; YunXia Liu
Author_Institution :
Software Coll. in Henan Univ., Henan Univ., Zhengzhou, China
Abstract :
In order to overcome the problem that the low efficiency of current 2D target object recognition system and the process of target object recognition based 3D reconstruction is complex. The paper proposes a 3D model retrieval technology based on 3D reconstruction. The system use a new automatically select 2D feature points technology based Horn-Schunck flow algorithm and canny operator; then use 3D cloud points reconstruction technology based on Expectation-Maximization algorithm (EM) and Structure From Motion algorithm (SFM) reconstruct 3D cloud points of target object; then use a new technology rapid extract Extended Gaussian Image (EGI) based on Crust algorithm to complete matching and retrieving target object, at last prove the system is efficiency and accuracy.
Keywords :
Gaussian processes; expectation-maximisation algorithm; feature extraction; image matching; image motion analysis; image reconstruction; image retrieval; object recognition; solid modelling; 2D feature point technology; 2D target object recognition system; 3D cloud point reconstruction technology; 3D model retrieval technology; Horn-Schunck flow algorithm; canny operator; crust algorithm; expectation-maximization algorithm; extended Gaussian image extraction; structure from motion algorithm; target object matching; target object retrieval; Computer vision; Feature extraction; Image motion analysis; Optical imaging; Signal processing algorithms; Solid modeling; Three dimensional displays; 3D Models Retrieval; 3D reconstruction; EGI; Optical Flow Algorithm; Target Recognition;
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang, China
Print_ISBN :
978-1-61284-087-1
DOI :
10.1109/EMEIT.2011.6023461