Three-Dimensional Visualization of Objects in Turbid Water Using Integral Imaging

Cho, Myungjin; Javidi, Bahram

doi:10.1109/jdt.2010.2066546

Cited by 66 publications

(38 citation statements)

References 14 publications

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“…The use of integral imaging techniques may be useful to recognize and classify objects under adverse conditions (in noisy or photon starved conditions), and under occlusions [51], [52], and recent results show the potential of this technique in new application and research avenues [53]- [56].…”

Section: Integral Imaging Overviewmentioning

confidence: 99%

“…Introduction of spectral information may help in object recognition and/or classification in 3-D imaging: 1) in underwater 3-D visualization [51], since water absorption is wavelength dependent; 2) in dermatology [65], in particular in skin cancer detection, because melanoma pigmented skin lesion is wavelength dependent and its structure is directly related to its evolution and degree of severity; 3) in remote sensing applications, in the case of sensors onboard airplanes or satellites which may be able to create 3-D models with the inclusion of multispectral information; 4) in remote sensing pattern recognition (i.e., identification of the 3-D structure and the spectral response of an object from the distance); and 5) in photon starved or ''hard to visualize'' conditions (at night, under ''foggy'' conditions, etc.) [60].…”

Section: Multispectral Data Fusion For Depth Estimation Improvemenmentioning

confidence: 99%

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Three-Dimensional Imaging With Multiple Degrees of Freedom Using Data Fusion

et al. 2015

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Section: Integral Imaging Overviewmentioning

confidence: 99%

Section: Multispectral Data Fusion For Depth Estimation Improvemenmentioning

confidence: 99%

Three-Dimensional Imaging With Multiple Degrees of Freedom Using Data Fusion

et al. 2015

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“…집적영상 기술은 1908년에 Lipmann [7] 에 의해 제안된 이후, 부분적으로 가려진 3D 물체의 인식을 위해서 많은 연구가 진행되고 있다 [4][5][6] . 일반적으로 집적영상 기반의 인식 시스템은 물체인식을 위한 참조영상 (reference image)의 생성과정과 참조영상을 이용하여 목표 물체를 인식하는 두 가지 과정으로 나누어진다.…”

Section: ⅱ 기존의 집적영상 기반의 인식 시스템unclassified

“…나 레이저와 같은 특별한 광원이 필요하지 않고, 수직 과 수평 시차와 연속적인 시점을 가지는 등의 장점을 가지고 있기 때문에, 현재 집적영상기술 기반의 3D 물체를 검출하고 인식하는 연구들이 활발히 진행되고 있다 [4][5][6] .…”

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Improved Recognition of Far Objects by using DPM method in Curving-Effective Integral Imaging

Chung¹,

Kim²

2012

The Journal of Korea Information and Communications Society

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In this paper, we propose a novel approach to enhance the recognition performance of a far and partially occluded three-dimensional (3-D) target in computational curving-effective integral imaging (CEII) by using the direct pixel-mapping (DPM) method. With this scheme, the elemental image array (EIA) originally picked up from a far and partially occluded 3-D target can be converted into a new EIA just like the one virtually picked up from a target located close to the lenslet array. Due to this characteristic of DPM, resolution and quality of the reconstructed target image can be highly enhanced, which results in a significant improvement of recognition performance of a far 3-D object. Experimental results reveal that image quality of the reconstructed target image and object recognition performance of the proposed system have been improved by 1.75 dB and 4.56% on the average in PSNR (peak-to-peak signal-to-noise ratio) and NCC (normalized correlation coefficient), respectively, compared to the conventional system.

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“…Unlike RGB-D active devices such as Kinect which work in close-range indoor scenes, passive integral imaging can operate in longrange applications [21], and has shown promise to deal with challenging imaging conditions, such us turbid water [9], low illumination [10], or occlusions [16], [38], [12].…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Integral Imaging for Gesture Recognition Under Occlusions

Traver

Carmona

Salvador-Balaguer

et al. 2017

IEEE Signal Process. Lett.

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Abstract-Over the last years, three-dimensional (3D) imaging has been applied to human action and gesture recognition, usually in the form of depth maps from RGB-D sensors. An alternative which has not been explored is 3D integral imaging, aside from a recent preliminary study which shows that it can be an effective sensory modality with some advantages over the conventional monocular imaging. Since integral imaging has also been shown to be a powerful tool in other visual tasks (e.g. object reconstruction and recognition) under challenging conditions (e.g. low illumination, occlusions), and its passive longrange operation brings benefits over active close-range devices, a natural question is whether these advantages also hold for gesture recognition. Furthermore, occlusions are present in many real-world scenarios in gesture recognition, but it is an elusive problem which has scarcely been addressed. As far as we know, this work analyzes for the first time the potential of integral imaging for gesture recognition under occlusions, by comparing it to monocular imaging and to RGB-D sensory data. Empirical results corroborates the benefits of 3D integral imaging for gesture recognition, mainly under occlusions.

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Three-Dimensional Visualization of Objects in Turbid Water Using Integral Imaging

Cited by 66 publications

References 14 publications

Three-Dimensional Imaging With Multiple Degrees of Freedom Using Data Fusion

Three-Dimensional Imaging With Multiple Degrees of Freedom Using Data Fusion

Improved Recognition of Far Objects by using DPM method in Curving-Effective Integral Imaging

Three-Dimensional Integral Imaging for Gesture Recognition Under Occlusions

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