Paper Info
Title
Observation-Driven adaptive differential evolution for robust bronchoscope 3-d motion tracking
Abstract
This paper proposes an observation-driven adaptive differential evolution (OADE) algorithm for accurate and robust bronchoscope 3-dimensional (3-D) motion tracking during electromagnetically navigated bronchoscopy. Two advantages of our framework are distinguished from any other adaptive differential evolution methods: (1) current observation information including sensor measurement and video image is used in the mutation equation and the selection function, respectively, and (2) the mutation factors and crossover rate are adaptively determined in terms of current image information. From experimental results, our OADE method was demonstrated to be an effective and promising tracking scheme. Our approach can reduce the tracking position error from 3.9 to 2.8 mm, as well as the position smoothness from 4.2 to 1.4 mm.
Year
DOI
Venue
2012
10.1007/978-3-642-37431-9_20
ACCV (3)
Keywords
Field
DocType
current observation information,tracking position error,current image information,observation-driven adaptive differential evolution,3-d motion tracking,adaptive differential evolution method,motion tracking,robust bronchoscope,oade method,promising tracking scheme,mutation factor,mutation equation
Computer vision,Computer science,Position error,Differential evolution,Crossover rate,Artificial intelligence,Smoothness,Match moving
Conference
Citations 
PageRank 
References 
1
0.35
18
Authors
2
Name
Order
Citations
PageRank
Xiongbiao Luo112422.22
Kensaku Mori21125160.28