Parallel Hidden Hierarchical Fields for Multi-scale Reconstruction

被引:0
|
作者
Liu, Ying [1 ]
Fieguth, Paul [1 ]
机构
[1] Univ Waterloo, Dept Syst Design Engn, Waterloo, ON N2L 3G1, Canada
来源
ENERGY MINIMIZATION METHODS IN COMPUTER VISION AND PATTERN RECOGNITION, PROCEEDINGS | 2009年 / 5681卷
关键词
SEGMENTATION; RELAXATION; MODEL;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In any problem involving images having scale-dependent structures, a key issue is the modeling of these multi-scale characteristics. Because multi-scale phenomena frequently possess nonstationary, piece-wise multi-model behaviour, the classic hidden Markov method can not perform well in modeling such complex images. In this paper we provide a new modeling approach to extend previous hierarchical methods, with multiple hidden fields, to perform reconstruction in more complex, nonstationary contexts.
引用
收藏
页码:70 / 83
页数:14
相关论文
共 50 条
  • [1] A Multi-Scale Cascaded Hierarchical Model for Image Labeling
    Xiao, Degui
    Chen, Qilei
    Li, Shanshan
    INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2016, 30 (09)
  • [2] Multi-scale hierarchical feature fusion network for change detection
    Zheng, Hanhong
    Zhang, Mingyang
    Gong, Maoguo
    Qin, A. K.
    Liu, Tongfei
    Jiang, Fenlong
    PATTERN RECOGNITION, 2025, 161
  • [3] HIERARCHICAL MULTI-SCALE SEGMENTATION OF LIDAR IMAGES IN FOREST AREAS
    Palenichka, Roman
    Doyon, Frederik
    Lakhssassi, Ahmed
    Zaremba, Marek
    2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 5462 - 5465
  • [4] Exploration of Multi-Scale Reconstruction Framework in Dam Deformation Prediction
    Yuan, Rongyao
    Su, Chao
    Cao, Enhua
    Hu, Shaopei
    Zhang, Heng
    APPLIED SCIENCES-BASEL, 2021, 11 (16):
  • [5] Design of multi-scale protein complexes by hierarchical building block fusion
    Hsia, Yang
    Mout, Rubul
    Sheffler, William
    Edman, Natasha, I
    Vulovic, Ivan
    Park, Young-Jun
    Redler, Rachel L.
    Bick, Matthew J.
    Bera, Asim K.
    Courbet, Alexis
    Kang, Alex
    Brunette, T. J.
    Nattermann, Una
    Tsai, Evelyn
    Saleem, Ayesha
    Chow, Cameron M.
    Ekiert, Damian
    Bhabha, Gira
    Veesler, David
    Baker, David
    NATURE COMMUNICATIONS, 2021, 12 (01)
  • [6] Multi-Scale Hourglass Hierarchical Fusion Network for Single Image Deraining
    Chen, Xiang
    Huang, Yufeng
    Xu, Lei
    2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW 2021, 2021, : 872 - 879
  • [7] Multi-scale Component-Tree: A Hierarchical Representation for Sparse Objects
    Perrin, Romain
    Leborgne, Aurelie
    Passat, Nicolas
    Naegel, Benoit
    Wemmert, Cedric
    DISCRETE GEOMETRY AND MATHEMATICAL MORPHOLOGY, DGMM 2024, 2024, 14605 : 312 - 324
  • [8] Multi-scale dosimetry with multi-scale Chinese reference phantoms
    Qiu, Rui
    Wu, Zhen
    Li, Chunyan
    Ren, Li
    Wang, Wenjing
    Ma, Ruiyao
    Hu, An Kang
    Zhu, Hongyu
    Li, Junli
    10TH INTERNATIONAL CONFERENCE ON 3D RADIATION DOSIMETRY (IC3DDOSE), 2019, 1305
  • [9] Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition
    Wu, Guorong
    Kim, Minjeong
    Sanroma, Gerard
    Wang, Qian
    Munsell, Brent C.
    Shen, Dinggang
    NEUROIMAGE, 2015, 106 : 34 - 46
  • [10] Sparse 3D Point Cloud Parallel Multi-Scale Feature Extraction and Dense Reconstruction with Multi-Headed Attentional Upsampling
    Wu, Meng
    Jiao, Hailong
    Nan, Junxiang
    ELECTRONICS, 2022, 11 (19)