Using disparity in digital holograms for three-dimensional object segmentation

Compression of digital holograms for three-dimensional object recognition

10.1117/12.449353 ◽

2001 ◽

Cited By ~ 7

Author(s):

Thomas J. Naughton ◽

Yann Frauel ◽

Bahram Javidi ◽

Enrique Tajahuerce

Keyword(s):

Object Recognition ◽

Three Dimensional ◽

Digital Holograms ◽

Dimensional Object

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Optical reconstruction of three-dimensional object from digital holograms using phase information calculated by continuous wavelet transform

10.1117/12.886471 ◽

2011 ◽

Author(s):

Zehra Saraç ◽

Duygu Önal Tayyar ◽

F. Necati Ecevit

Keyword(s):

Wavelet Transform ◽

Continuous Wavelet Transform ◽

Three Dimensional ◽

Continuous Wavelet ◽

Phase Information ◽

Digital Holograms ◽

Optical Reconstruction ◽

Dimensional Object

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Composite filters based on digital holograms for distortion-tolerant three-dimensional object recognition

LEOS 2001. 14th Annual Meeting of the IEEE Lasers and Electro-Optics Society (Cat. No.01CH37242) ◽

10.1109/leos.2001.968935 ◽

2002 ◽

Author(s):

Y. Frauel ◽

E. Tajahuerce ◽

M.-A. Castro ◽

B. Javidi

Keyword(s):

Object Recognition ◽

Three Dimensional ◽

Digital Holograms ◽

Dimensional Object

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Compression of digital holograms for three-dimensional object reconstruction and recognition

Applied Optics ◽

10.1364/ao.41.004124 ◽

2002 ◽

Vol 41 (20) ◽

pp. 4124 ◽

Cited By ~ 144

Author(s):

Thomas J. Naughton ◽

Yann Frauel ◽

Bahram Javidi ◽

Enrique Tajahuerce

Keyword(s):

Three Dimensional ◽

Object Reconstruction ◽

Digital Holograms ◽

Dimensional Object

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Implementing compression and encryption of phase-shifting digital holograms for three-dimensional object reconstruction

Optics Communications ◽

10.1016/j.optcom.2013.05.053 ◽

2013 ◽

Vol 307 ◽

pp. 67-72 ◽

Cited By ~ 30

Author(s):

A. Alfalou ◽

C. Brosseau

Keyword(s):

Three Dimensional ◽

Phase Shifting ◽

Object Reconstruction ◽

Digital Holograms ◽

Dimensional Object

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Three Dimensional Object Segmentation Based on Spatial Adaptive Projection for Solid Waste

Communications in Computer and Information Science - Computer Vision ◽

10.1007/978-981-10-7305-2_39 ◽

2017 ◽

pp. 453-464 ◽

Cited By ~ 1

Author(s):

Yeqiang Qiu ◽

Jiawei Chen ◽

Jianshuang Guo ◽

Jianhua Zhang ◽

Sheng Liu ◽

...

Keyword(s):

Solid Waste ◽

Object Segmentation ◽

Three Dimensional ◽

Dimensional Object

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Three dimensional object segmentation based on spatial adaptive projection for solid waste

Neurocomputing ◽

10.1016/j.neucom.2018.03.079 ◽

2019 ◽

Vol 328 ◽

pp. 122-134

Author(s):

Jianhua Zhang ◽

Yeqiang Qiu ◽

Jiawei Chen ◽

Jianshuang Guo ◽

Jingbo Chen ◽

...

Keyword(s):

Solid Waste ◽

Object Segmentation ◽

Three Dimensional ◽

Dimensional Object

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Reconstruction of Objects from their Projections Using Orthogonal Functions

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100071788 ◽

1973 ◽

Vol 31 ◽

pp. 268-269

Author(s):

Elrnar Zeitler

Keyword(s):

Unit Area ◽

Three Dimensional ◽

One Dimension ◽

Spatial Density ◽

Dimensional Representation ◽

Orthogonal Functions ◽

Object A ◽

Plane Normal ◽

Dimensional Object ◽

Spatial Density Distribution

Considering any finite three-dimensional object, a “projection” is here defined as a two-dimensional representation of the object's mass per unit area on a plane normal to a given projection axis, here taken as they-axis. Since the object can be seen as being built from parallel, thin slices, the relation between object structure and its projection can be reduced by one dimension. It is assumed that an electron microscope equipped with a tilting stage records the projectionWhere the object has a spatial density distribution p(r,ϕ) within a limiting radius taken to be unity, and the stage is tilted by an angle 9 with respect to the x-axis of the recording plane.

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