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Vol. 161, Issue 12, December 2013, pp. 121-128

 

Bullet

 

Anisotropic 3DSIFT for Volumetric Matching
 
1 Peizhi CHEN, 1 Maoqing LI, 2 Shuili CHEN

1 Department of Automation, Xiamen University, 361005, China

2 School of Sciences, Jimei University, 361005, China

1 Tel.: 0086-13599901829, fax: 0086-0592-2580007
E-mail: peizhichenxmu@gmail.com

 

Received: 18 September 2013   /Accepted: 22 November 2013   /Published: 30 December 2013

Digital Sensors and Sensor Sysstems

 

Abstract: Volumetric matching is essential for volume image analysis. The main contributions of this paper are: 1) We present an improved 3DSIFT algorithm for volumetric matching. We can extract more correspondences than the state of the art. 2) We introduce anisotropic Gaussian smoothing during the scale space extreme detection step. We find more reliable keypoints than the isotropic one. 3) We present a point-point matching algorithm to solve the one-many matching problem. Experiments on synthetic and real volume images show the superiority of the proposed 3D SIFT over the state of the art.

 

Keywords: Volumetric matching, 3DSIFT, Feature matching, Gaussian smoothing.

 

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