Depth map occlusion filling and scene reconstruction using modified exemplar-based inpainting

Voronin, Viacheslav; Marchuk, Vladimir; Fisunov, Alexander V.; Svetlana, Tokareva; Егиазарян, Карен

doi:10.1117/12.2076506

Cited by 2 publications

(2 citation statements)

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“…(a). Compared with the method of Criminisi et al . whose matching point q will go through all pixels around the target window, our method will save three quarters of time at least in theory.…”

Section: Methodsmentioning

confidence: 99%

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Virtual viewpoints reconstruction via Fourier slice transformation

Zhao

Xia

2018

J Soc Info Display

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We propose a new method of calculating the arbitrary viewpoints for auto‐stereoscopic display. The three‐dimensional (3D) object is first virtually reconstructed in 3D spaces by mapping each pixel with a depth according to the depth mapping. We then calculate the Fourier spectrum of the 3D object by the fast Fourier transformation. The arbitrary viewpoints are reconstructed by “slicing” the 3D Fourier spectrum. To repair “black hole” artifacts, the regions in the background are calculated by advanced boundary in‐painting. Experimental results show the effectiveness and accuracy of the proposed algorithm to calculate viewpoints with arbitrary viewing angles. A comparison is also presented, which indicates that the proposed algorithm is more accurate than conventional method, and the advanced boundary in‐painting can save three quarters of time than the conventional in‐painting method.

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Section: Methodsmentioning

confidence: 99%

“…One of the challenges for virtual viewpoint generation is hole filling. In‐painting method introduced by Criminisi et al . is a precise way to solve this problem.…”

Section: Methodsmentioning

confidence: 99%

Virtual viewpoints reconstruction via Fourier slice transformation

Zhao

Xia

2018

J Soc Info Display

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Depth Map Reconstruction Method in Control Problems for Robots and Mechatronic Systems

Zelensky

Gapon

Zhdanova

et al. 2022

Mehatronika, avtomatizaciâ, upravlenie

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In modern robotic and mechatronic systems, technologies are in demand that makes it possible to build an optimal trajectory of movement of their actuators. Such technologies are formed by combining navigation methods and building a 3-D map of the surrounding space based on vision systems and are successfully used in robotics and mechatronics. But there is a problem, consisting of a decrease in the accuracy of planning the trajectory of movement, caused by incorrect sections on the map (depth map) due to incorrect determination of the distance to objects. Such defects appear as a result of poor lighting, specular or fine-grained surfaces of objects. This leads to the impossibility of obtaining reliable information about the depth. As a result, the effect of increasing the boundaries of objects (obstacles) appears, and the overlapping of objects makes it impossible to distinguish one object from another. This problem can be solved using image reconstruction methods. The article presents an approach based on a modified algorithm for searching for similar blocks using the concept of quaternions and anisotropic gradient. The analysis of the research results shows that the proposed method allows you to correctly restore the boundaries of objects on the depth map image when reconstructing 3-D scenes, which contributes to an increase in the accuracy of planning the trajectory of motion of the actuators robotic and mechatronic systems.

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Depth map occlusion filling and scene reconstruction using modified exemplar-based inpainting

Cited by 2 publications

References 4 publications

Virtual viewpoints reconstruction via Fourier slice transformation

Virtual viewpoints reconstruction via Fourier slice transformation

Depth Map Reconstruction Method in Control Problems for Robots and Mechatronic Systems

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