Distributed pixel mapping for refining dark area in parallax barriers based holoscopic 3D Display

Swash, Mohammad Rafiq; Aggoun, A.; Abdulfatah, O.; Fernández, J. C.; Alazawi, E.; Tsekleves, Emmanuel

doi:10.1109/ic3d.2013.6732101

Cited by 5 publications

(3 citation statements)

References 10 publications

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“…, where, "n" is a consistent pixel from a reliable neighbor in the support aggregation window of the center pixel "c" and the disparity dn contributes one vote, which is accumulated in the set Votep By use of smoothing term Equation 6and (8), Equation (9) can be rewritten as:…”

Section: Hybrid Depthmap Estimation Stagementioning

confidence: 99%

“…This technique can be seen as an evolutionary step in providing promising applications in the areas of 3DTV, 3D cinema, medicine, robotic vision, biometrics, military, digital design, and digital games [3] where 3D depth plays [4] [5] a key role. Recently, there have been some developments in holoscopic 3D imaging and display system, in particular 3D reformatting [6], aperture stitching [7], 3D pixel mapping [8] [9], 3D display [10], 3D search and retrieval [11] and computer graphics [12] including medical image visualisation [13] and pre-processing [14].…”

Section: Introductionmentioning

confidence: 99%

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3D Depth Measurement for Holoscopic 3D Imaging System

Alazawi¹,

Swash²,

Abbod³

2016

JCC

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Holoscopic 3D imaging is a true 3D imaging system mimics fly's eye technique to acquire a true 3D optical model of a real scene. To reconstruct the 3D image computationally, an efficient implementation of an Auto-Feature-Edge (AFE) descriptor algorithm is required that provides an individual feature detector for integration of 3D information to locate objects in the scene. The AFE descriptor plays a key role in simplifying the detection of both edge-based and region-based objects. The detector is based on a Multi-Quantize Adaptive Local Histogram Analysis (MQALHA) algorithm. This is distinctive for each Feature-Edge (FE) block i.e. the large contrast changes (gradients) in FE are easier to localise. The novelty of this work lies in generating a free-noise 3D-Map (3DM) according to a correlation analysis of region contours. This automatically combines the exploitation of the available depth estimation technique with edge-based feature shape recognition technique. The application area consists of two varied domains, which prove the efficiency and robustness of the approach: a) extracting a set of setting feature-edges, for both tracking and mapping process for 3D depthmap estimation, and b) separation and recognition of focus objects in the scene. Experimental results show that the proposed 3DM technique is performed efficiently compared to the state-of-the-art algorithms.

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Section: Hybrid Depthmap Estimation Stagementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

3D Depth Measurement for Holoscopic 3D Imaging System

Alazawi¹,

Swash²,

Abbod³

2016

JCC

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show abstract

“…VP (a) pixel location(25,25) under every EI extracted without correcting the barrel distortion and in (b) the same VP extracted without barrel distortion.…”

mentioning

confidence: 99%

Digital Refocusing: All-in-Focus Image Rendering Based on Holoscopic 3D Camera

Fatah¹,

Lanigan²,

Aggoun³

et al. 2016

JCC

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This paper presents an innovative method for digital refocusing of different point in space after capturing and also extracts all-in-focus image. The proposed method extracts all-in-focus image using Michelson contrast formula hence, it helps in calculating the coordinates of the 3D object location. With light field integral camera setup the scene to capture the objects precisely positioned in a measurable distance from the camera therefore, it helps in refocusing process to return the original location where the object is focused; else it will be blurred with less contrast. The highest contrast values at different points in space can return the focused points where the objects are initially positioned as a result; all-in-focus image can also be obtained. Detailed experiments are conducted to demonstrate the credibility of proposed method with results.

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Implementation and Evaluation of Innovative 3D Pixel Mapping Method for LED Holoscopic 3D Wall Display

Yizhou

Swash

2021

Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery

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Distributed pixel mapping for refining dark area in parallax barriers based holoscopic 3D Display

Cited by 5 publications

References 10 publications

3D Depth Measurement for Holoscopic 3D Imaging System

3D Depth Measurement for Holoscopic 3D Imaging System

Digital Refocusing: All-in-Focus Image Rendering Based on Holoscopic 3D Camera

Implementation and Evaluation of Innovative 3D Pixel Mapping Method for LED Holoscopic 3D Wall Display

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