3D Reconstruction from SECCHI-EUVI Images Using an Optical-Flow Algorithm: Method Description and Observation of an Erupting Filament

被引:0
|
作者
S. F. Gissot
J.-F. Hochedez
P. Chainais
J.-P. Antoine
机构
[1] Royal Observatory of Belgium,Solar Influences Data Analysis Centre
[2] Université catholique de Louvain,Unité de Physique Théorique et de Physique Mathématique – FYMA
[3] Université Blaise Pascal Clermont II,LIMOS
[4] CNRS,undefined
来源
Solar Physics | 2008年 / 252卷
关键词
Chromosphere: Active; Optical flow; Prominences: Dynamics, formation and evolution; Stereoscopy; Technique: 3D reconstruction;
D O I
暂无
中图分类号
学科分类号
摘要
SECCHI-EUVI telescopes provide the first EUV images enabling a 3D reconstruction of solar coronal structures. We present a stereoscopic reconstruction method based on the Velociraptor algorithm, a multiscale optical-flow method that estimates displacement maps in sequences of EUV images. Following earlier calibration on sequences of SOHO-EIT data, we apply the algorithm to retrieve depth information from the two STEREO viewpoints using the SECCHI-EUVI telescope. We first establish a simple reconstruction formula that gives the radial distance to the centre of the Sun of a point identified both in EUVI-A and EUVI-B from the separation angle and the displacement map. We select pairs of images taken in the 30.4 nm passband of EUVI-A and EUVI-B, and apply a rigid transform from the EUVI-B image in order to set both images in the same frame of reference. The optical flow computation provides displacement maps from which we reconstruct a dense map of depths using the stereoscopic reconstruction formula. Finally, we discuss the estimation of the height of an erupting filament.
引用
收藏
页码:397 / 408
页数:11
相关论文
共 50 条
  • [21] A method for 3D-reconstruction of a muscle thick filament using the tilt series images of a single filament electron tomogram
    Marquez, G.
    Pinto, A.
    Alamo, L.
    Baumann, B.
    Ye, F.
    Winkler, H.
    Taylor, K.
    Padron, R.
    JOURNAL OF STRUCTURAL BIOLOGY, 2014, 186 (02) : 265 - 272
  • [22] Pose Estimation Algorithm Derived From 3D Optical Flow
    Li, Xuesheng
    Niu, Junkai
    Zhang, Xinhao
    Li, Chen
    PROCEEDINGS OF 2022 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (IEEE ICMA 2022), 2022, : 87 - 92
  • [23] Slice Reconstruction on 3D Medical Image using Optical Flow Approach
    Supriyanto, Muhammad Ibadurrahman Arrasyid
    Fajar, Aziz
    Sarno, Riyanarto
    Fatichah, Chastine
    Fahmi, Achmad
    Utomo, Sri Andreani
    Notopuro, Francisca
    2021 IEEE ASIA PACIFIC CONFERENCE ON WIRELESS AND MOBILE (APWIMOB), 2021, : 242 - 246
  • [24] A Method of Reconstruction Building's 3D Model from Perspective Images
    Wang Ru
    Zhou Mingquan
    ICIC 2009: SECOND INTERNATIONAL CONFERENCE ON INFORMATION AND COMPUTING SCIENCE, VOL 2, PROCEEDINGS: IMAGE ANALYSIS, INFORMATION AND SIGNAL PROCESSING, 2009, : 255 - 258
  • [25] Reconstruction and flow simulation of 3D human trachea from 2D images
    National Center for High-Performance Computing, P.O.BOX 19-136, Hsinchu, Taiwan, Taiwan
    Hangkong Taikong ji Minhang Xuekan, 2007, 1 (39-44):
  • [26] 3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow
    Wen, Xin
    Zhou, Junsheng
    Liu, Yu-Shen
    Su, Hua
    Dong, Zhen
    Han, Zhizhong
    2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022), 2022, : 3793 - 3803
  • [27] A New Non-Linear Algorithm For 3D Reconstruction From Straight-line Optical Flow
    Chen Zhen
    Li Ming
    Jiang Shao-feng
    Wei Shui-gen
    Wang Yu
    2009 INTERNATIONAL ASIA CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION, AND ROBOTICS, PROCEEDINGS, 2009, : 311 - 316
  • [28] 3D shape reconstruction of medical images using a perspective shape-from-shading method
    Yang, Lei
    Han, Jiu-qiang
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2008, 19 (06)
  • [29] Region-Based Growing Algorithm for 3D Reconstruction from MRI Images
    Fan, Baijiang
    Rao, Yunbo
    Liu, Wei
    Wang, Qifei
    Wen, Huaiyu
    2017 2ND INTERNATIONAL CONFERENCE ON IMAGE, VISION AND COMPUTING (ICIVC 2017), 2017, : 521 - 525
  • [30] Estimating 3D shape from the optical flow of photometric stereo images
    Torreao, JRA
    PROGRESS IN ARTIFICIAL INTELLIGENCE-IBERAMIA 98, 1998, 1484 : 253 - 261