Real-Time Integral Imaging Based on Extremely High Resolution Video System

Okano, Fumio; Arai, Jun; Mitani, Kohji; Okui, Makoto

doi:10.1109/jproc.2006.870687

Cited by 121 publications

(42 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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

View full text Add to dashboard Cite

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.

show abstract

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

View full text Add to dashboard Cite

show abstract

“…An advantage of 3D in relation to traditional 2D imaging techniques is their capability to capture the spatial (structural) information of different objects that are in a scene. One promising 3D approach is based on Integral Imaging or Integral Photography, which is an autostereoscopic imaging method used to capture 3D information and to visualize it in 3D space, either optically or computationally [2,5,20,28,32,48].…”

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.

View full text Add to dashboard Cite

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.

show abstract

“…I NTEGRAL Imaging is a three-dimensional sensing and imaging technique with different applications including TV broadcasting, 3D display, and 3D visualization in different types of media [1]- [6]. Photon counting integral imaging has been proposed to perform 3D image reconstruction [7] and 3D target recognition [8]- [10] in photon starved conditions.…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Visualization of Long Range Scenes by Photon Counting Mid-Wave Infrared Integral Imaging

Carmona

Javidi

LeMaster

2015

J. Display Technol.

View full text Add to dashboard Cite

Abstract-Integral Imaging under photon counting conditions has found different three-dimensional (3D) imaging applications, including 3D image reconstruction and recognition. In this letter, we present the application of the maximum likelihood (ML) estimation method for visualization of 3D scenes in photon starved environments using Mid-Wave Infrared 3D data of real scenes acquired at distances ranging from 50m to more than 2km. To the best of our knowledge, this is the first report on Mid-Wave Infrared 3D photon counting integral imaging of distant scenes.

show abstract

Real-Time Integral Imaging Based on Extremely High Resolution Video System

Cited by 121 publications

References 16 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

Three-Dimensional Visualization of Long Range Scenes by Photon Counting Mid-Wave Infrared Integral Imaging

Contact Info

Product

Resources

About