Improved resolution 3D object sensing and recognition using time multiplexed computational integral imaging

Kishk, Sherif; Javidi, Bahram

doi:10.1364/oe.11.003528

Cited by 110 publications

(42 citation statements)

References 13 publications

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“…Some examples of these are the visualization of 3D content and TV systems based on integral imaging [80][81][82], and the automatic recognition of 3D objects [83][84][85][86]. Other interesting applications are the 3D image and processing systems of poorly illuminated 3D scenes based on multi-perspective photon counting [87][88][89][90][91], the 3D imaging and pattern recognition of scenes that present partial occlusions or immersed in dispersive environments [92,93], and the 3D microscopy after a single shot [94][95][96][97][98][99].…”

Section: The Viewer Sees Point S Closer To Him Than the Other Pointmentioning

confidence: 99%

Three-Dimensional Imaging and Display through Integral Photography

Navarro

Dorado²,

Saavedra³

et al. 2014

Journal of information and communication convergence engineerin

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Here, we present a review of the proposals and advances in the field of three-dimensional (3D) imaging acquisition and display made in the last century. The most popular techniques are based on the concept of stereoscopy. However, stereoscopy does not provide real 3D experience, and produces discomfort due to the conflict between convergence and accommodation. For this reason, we focus this paper on integral imaging, which is a technique that permits the codification of 3D information in an array of 2D images obtained from different perspectives. When this array of elemental images is placed in front of an array of microlenses, the perspectives are integrated producing 3D images with full parallax and free of the convergenceaccommodation conflict. In the paper we describe the principles of this technique, together with some new applications of integral imaging.

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Section: The Viewer Sees Point S Closer To Him Than the Other Pointmentioning

confidence: 99%

Three-Dimensional Imaging and Display through Integral Photography

Navarro

Dorado²,

Saavedra³

et al. 2014

Journal of information and communication convergence engineerin

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show abstract

“…This is an advantage as compared to other sensing techniques like holography or Ladar, which require an active illumination system [6,16]. Integral Imaging can also provide the 3D profile and range of the objects in the scene, being therefore attractive for 3D object recognition [26,36]. Three-dimensional sensing with an Integral Imaging architecture has specific benefits over conventional 2D imaging as well as stereo imaging.…”

Section: Introductionmentioning

confidence: 99%

Depth estimation in Integral Imaging based on a maximum voting strategy

Martínez-Usó

Carmona

Sotoca

et al. 2016

J. Display Technol.

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An approach that uses the scene information acquired by means of a 3D Synthetic Aperture Integral Imaging system is presented. This method generates a depth map of the scene through a voting strategy. In particular, we consider the information given by each camera of the array for each pixel, and also the local information in a neighbourhood of that pixel. The proposed method obtains consistent results for any type of object surfaces as well as very sharp boundaries.In addition, we also contribute in this paper with a repository of a set of synthetic integral images generated by 3DS Max where the so called ground truth (real-true depth map) is available. This resource can be used as a benchmark to test any Integral Imaging based range estimation method.

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“…Basically, there are two kinds of integral imaging reconstruction techniques, optical integral image reconstruction (OIIR) technique and computational integral imaging reconstruction (CIIR) technique ([6]- [9]). The OIIR technique has problems such as degraded image quality of the displayed 3D images caused by physical limitation of optical devices such as diffraction and interference between elemental images ( [8], [10]). In order to overcome these drawbacks of OIIR technique, a CIIR technique based on a pinhole array model has been introduced, in which 3D object can be computationally reconstructed through digital simulation of geometrical optics [8].…”

Section: Introductionmentioning

confidence: 99%

Computational Technique of 3D Reconstruction in Integral Imaging using FPGA Hardware

Hussein¹,

Kishk²,

Abo-Elsoud³

2012

IJCA

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This paper presents hardware implementation for a computational 3D integral imaging reconstruction technique. The reconstruction technique is based on a single pixel extraction from corresponding elemental images of a 3D scene, which is formed using an integral imaging system. The proposed hardware exploits both of the parallel processing and memory organization features, that is available in fieldprogrammable gate array (FPGA) device to achieve several computational operations at real time. In this method the need for optical equipment such as micro-optics lens and special high-quality LCD to display 3D scene, which will make it suitable to field view TV application, is eliminated. Some experiments were carried out to show the feasibility of the proposed scheme, its result exposes that the hardware is able to process digital reconstruction at real time rate with low power consumption.

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Improved resolution 3D object sensing and recognition using time multiplexed computational integral imaging

Cited by 110 publications

References 13 publications

Three-Dimensional Imaging and Display through Integral Photography

Three-Dimensional Imaging and Display through Integral Photography

Depth estimation in Integral Imaging based on a maximum voting strategy

Computational Technique of 3D Reconstruction in Integral Imaging using FPGA Hardware

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