Photon Counting 3-D Object Recognition Using Digital Holography

被引:7
|
作者
Latorre-Carmona, Pedro [1 ]
Javidi, Bahram [2 ]
Pla, Filiberto [1 ]
Tajahuerce, Enrique [1 ]
机构
[1] Univ Jaume 1, Inst New Imaging Technol, Castellon De La Plana 12071, Spain
[2] Univ Connecticut, Dept Elect & Comp Engn, Storrs, CT 06269 USA
来源
IEEE PHOTONICS JOURNAL | 2013年 / 5卷 / 06期
关键词
Digital holography; pattern recognition; photon counting imaging; three-dimensional image processing; RECONSTRUCTION; IMAGE; WAVELENGTH; TARGET; NOISE;
D O I
10.1109/JPHOT.2013.2293619
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We present an analysis of the recognition performance of 3-D objects reconstructed from digital holograms recorded under photon counting conditions. The digital holograms are computed by applying four-step phase-shifting techniques to interferograms recorded with weak coherent light. Recognition capability is analyzed as a function of the total number of photons by using a maximum-likelihood approach adapted to one-class classification problems. The likelihood is modeled assuming a Gaussian distribution, whose centroid corresponds to the highest value in a mixture of two Gaussian values. The recognition capability is studied both in terms of the axial distance and the lateral position of the reconstructed 3-D object.
引用
收藏
页数:9
相关论文
共 50 条
  • [41] 3-D OBJECT RECOGNITION FROM A SINGLE IMAGE
    COHEN, FS
    CAYULA, JFP
    PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS, 1985, 521 : 7 - 15
  • [42] 3-D Object Retrieval and Recognition With Hypergraph Analysis
    Gao, Yue
    Wang, Meng
    Tao, Dacheng
    Ji, Rongrong
    Dai, Qionghai
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2012, 21 (09) : 4290 - 4303
  • [43] Probabilistic Models of Appearance for 3-D Object Recognition
    Arthur R. Pope
    David G. Lowe
    International Journal of Computer Vision, 2000, 40 : 149 - 167
  • [44] INVARIANT DESCRIPTORS FOR 3-D OBJECT RECOGNITION AND POSE
    FORSYTH, D
    MUNDY, JL
    ZISSERMAN, A
    COELHO, C
    HELLER, A
    ROTHWELL, C
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1991, 13 (10) : 971 - 991
  • [45] Optimization of informative components for 3-D object recognition
    Kuznetsov, VD
    Matveev, IA
    Murynin, AB
    23RD INTERNATIONAL CONGRESS ON HIGH-SPEED PHOTOGRAPHY AND PHOTONICS, PT 1, 1999, 3516 : 426 - 432
  • [46] 3-d object recognition using an ultrasonic sensor array and neural networks
    Lee, Keeseong
    ANALYSIS AND DESIGN OF INTELLIGENT SYSTEMS USING SOFT COMPUTING TECHNIQUES, 2007, 41 : 306 - 315
  • [47] Evolutionary Feature Learning for 3-D Object Recognition
    Shah, Syed Afaq Ali
    Bennamoun, Mohammed
    Boussaid, Farid
    While, Lyndon
    IEEE ACCESS, 2018, 6 : 2434 - 2444
  • [48] 3-D OBJECT RECOGNITION USING BIPARTITE MATCHING EMBEDDED IN DISCRETE RELAXATION
    KIM, WY
    KAK, AC
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1991, 13 (03) : 224 - 281
  • [49] STRUCTURAL INDEXING - EFFICIENT 3-D OBJECT RECOGNITION
    STEIN, F
    MEDIONI, G
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1992, 14 (02) : 125 - 145
  • [50] 3-D cueing: A data filter for object recognition
    Carmichael, O
    Hebert, M
    ICRA '99: IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-4, PROCEEDINGS, 1999, : 944 - 950