PMID- 25938202
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20150622
LR  - 20181113
IS  - 1424-8220 (Electronic)
IS  - 1424-8220 (Linking)
VI  - 15
IP  - 5
DP  - 2015 Apr 29
TI  - Joint infrared target recognition and segmentation using a shape manifold-aware 
      level set.
PG  - 10118-45
LID - 10.3390/s150510118 [doi]
AB  - We propose new techniques for joint recognition, segmentation and pose estimation 
      of infrared (IR) targets. The problem is formulated in a probabilistic level set 
      framework where a shape constrained generative model is used to provide a 
      multi-class and multi-view shape prior and where the shape model involves a 
      couplet of view and identity manifolds (CVIM). A level set energy function is 
      then iteratively optimized under the shape constraints provided by the CVIM. 
      Since both the view and identity variables are expressed explicitly in the 
      objective function, this approach naturally accomplishes recognition, 
      segmentation and pose estimation as joint products of the optimization process. 
      For realistic target chips, we solve the resulting multi-modal optimization 
      problem by adopting a particle swarm optimization (PSO) algorithm and then 
      improve the computational efficiency by implementing a gradient-boosted PSO 
      (GB-PSO). Evaluation was performed using the Military Sensing Information 
      Analysis Center (SENSIAC) ATR database, and experimental results show that both 
      of the PSO algorithms reduce the cost of shape matching during CVIM-based shape 
      inference. Particularly, GB-PSO outperforms other recent ATR algorithms, which 
      require intensive shape matching, either explicitly (with pre-segmentation) or 
      implicitly (without pre-segmentation).
FAU - Yu, Liangjiang
AU  - Yu L
AD  - School of Electrical and Computer Engineering, Oklahoma State University, 
      Stillwater, OK 74078, USA. liangjiang.yu@okstate.edu.
FAU - Fan, Guoliang
AU  - Fan G
AD  - School of Electrical and Computer Engineering, Oklahoma State University, 
      Stillwater, OK 74078, USA. guoliang.fan@okstate.edu.
FAU - Gong, Jiulu
AU  - Gong J
AD  - School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 
      100081, China. lujiugong@bit.edu.cn.
FAU - Havlicek, Joseph P
AU  - Havlicek JP
AD  - School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 
      73019, USA. joebob@ou.edu.
LA  - eng
PT  - Journal Article
DEP - 20150429
PL  - Switzerland
TA  - Sensors (Basel)
JT  - Sensors (Basel, Switzerland)
JID - 101204366
PMC - PMC4481947
EDAT- 2015/05/06 06:00
MHDA- 2015/05/06 06:01
PMCR- 2015/05/01
CRDT- 2015/05/05 06:00
PHST- 2015/02/13 00:00 [received]
PHST- 2015/04/17 00:00 [revised]
PHST- 2015/04/22 00:00 [accepted]
PHST- 2015/05/05 06:00 [entrez]
PHST- 2015/05/06 06:00 [pubmed]
PHST- 2015/05/06 06:01 [medline]
PHST- 2015/05/01 00:00 [pmc-release]
AID - s150510118 [pii]
AID - sensors-15-10118 [pii]
AID - 10.3390/s150510118 [doi]
PST - epublish
SO  - Sensors (Basel). 2015 Apr 29;15(5):10118-45. doi: 10.3390/s150510118.