Improved 3D modeling using multistage feature extraction and matching

Recovering a complete, detailed, accurate and realistic 3D model from images is still a difficult task. This paper proposes an improved 3D modeling using multistage feature extraction and matching. A 3D modeling technique is applied based on the features extracted from images of the same scene taken from different directions. Matching of the images are used to construct the 3D model. Using multistage features extraction and matching algorithms, multiple 3D models can be obtained. This paper will focus on modeling from reality rather than computer graphics creation of artificial world models. Experimental results are illustrated to explore the effectiveness of the proposed method.

[1]  Noah Snavely Photo Tourism : Exploring image collections in 3D , 2006 .

[2]  Steven M. Seitz,et al.  Multicore bundle adjustment , 2011, CVPR 2011.

[3]  Ruey Shyan Leow 3D object reconstruction using multiple-view geometry : sift detection , 2011 .

[4]  Napsiah Ismail,et al.  IV-FMC: An automated vision based part modeling and reconstruction system for flexible manufacturing cells , 2009, 2008 IEEE International Conference on Robotics and Biomimetics.

[5]  Roberto Cipolla,et al.  Structure from motion , 2008 .

[6]  Rachel Opitz,et al.  Close-range photogrammetry vs. 3D scanning: Comparing data capture, processing and model generation in the field and the lab , 2012 .

[7]  Kuk-Jin Yoon,et al.  Recognizing 3D Objects with 3D Information from Stereo Vision , 2010, 2010 20th International Conference on Pattern Recognition.

[8]  Alexandru Tupan,et al.  Triangulation , 1997, Comput. Vis. Image Underst..

[9]  Richard Szeliski,et al.  Structure from motion for scenes with large duplicate structures , 2011, CVPR 2011.

[10]  Ahmed Atwan,et al.  A Comparative Study between SIFT- Particle and SURF-Particle Video Tracking Algorithms , 2012 .

[11]  G LoweDavid,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004 .

[12]  V. Gaganov,et al.  AMLESAC: A New Maximum Likelihood Robust Estimator , 2005 .

[13]  Martin Fera,et al.  From Deposit to Point Cloud – a Study of Low-Cost Computer Vision Approaches for the Straightforward Documentation of Archaeological Excavations , 2011 .

[14]  Carlos Wai Yin Leung Efficient methods for 3D reconstruction from multiple images , 2006 .

[15]  Christof Lutteroth,et al.  3D Models from the Black Box: Investigating the Current State of Image-Based Modeling , 2012 .

[16]  Fabio Remondino,et al.  Image‐based 3D Modelling: A Review , 2006 .

[17]  Hannes Fassold,et al.  Realtime KLT Feature Point Tracking for High Definition Video , 2009 .

[18]  Philippe De Smedt,et al.  Towards a three-dimensional cost-effective registration of the archaeological heritage , 2013 .