Iterative reconstruction algorithm comparison using Poisson noise distributed sinogram data in passive gamma emission tomography

Shiba, Shigeki; Sagara, Hiroshi

doi:10.1080/00223131.2020.1854882

Cited by 5 publications

(1 citation statement)

References 11 publications

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“…The paper carries out related research work to address some defects inherent in the original Poisson reconstruction algorithm. Firstly, for the Poisson reconstruction algorithm of the equivalence surface extraction algorithm, the model hole problem is greatly improved by adding [3] the duality processing and index list expansion method. Animated image 3D reconstruction, as well as facial animation, is two important types of research in the field of computer graphics.…”

Section: Introductionmentioning

confidence: 99%

A Poisson Equation-Based Method for 3D Reconstruction of Animated Images

Lei

2021

Advances in Mathematical Physics

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3D reconstruction techniques for animated images and animation techniques for faces are important research in computer graphics-related fields. Traditional 3D reconstruction techniques for animated images mainly rely on expensive 3D scanning equipment and a lot of time-consuming postprocessing manually and require the scanned animated subject to remain in a fixed pose for a considerable period. In recent years, the development of large-scale computing power of computer-related hardware, especially distributed computing, has made it possible to come up with a real-time and efficient solution. In this paper, we propose a 3D reconstruction method for multivisual animated images based on Poisson’s equation theory. The calibration theory is used to calibrate the multivisual animated images, obtain the internal and external parameters of the camera calibration module, extract the feature points from the animated images of each viewpoint by using the corner point detection operator, then match and correct the extracted feature points by using the least square median method, and complete the 3D reconstruction of the multivisual animated images. The experimental results show that the proposed method can obtain the 3D reconstruction results of multivisual animation images quickly and accurately and has certain real-time and reliability.

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Section: Introductionmentioning

confidence: 99%