DEFORMABLE OBJECT REMOVAL VIA EXEMPLAR-BASED ALGORITHM FOR 3D MODEL OF HERITAGE STRUCTURES

被引:1
|
作者
Buatik, Apichat [1 ]
Chaiyasarn, Krisada [1 ]
机构
[1] Thammasat Univ, Civil Engn, Bangkok, Thailand
来源
INTERNATIONAL JOURNAL OF GEOMATE | 2021年 / 21卷 / 84期
关键词
Heritage Structures; 3D Modeling; Unmanned Aerial Vehicle; Digital Reconstruction; Exemplar-based Inpainting; RECONSTRUCTION;
D O I
10.21660/2021.84.j2076
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Heritage structures are important for tourism and for learning about nations' history. Historical sites around the world are in damaged conditions due to various factors from the environment, man-made activities or natural calamities. To ensure safety and avoid further deterioration, digital reconstruction of heritage sites can be used to create 3D virtual models of these structures for archiving and for inspection purpose. This paper presents a technique to reconstruct a high-quality image-based 3D model of a heritage structure. An exemplar-based inpainting algorithm was used for removing deformable obstacles such as trees in 2D images since such obstacles are unwanted in a final 3D model. They also create noise in the 3D modeling process, which makes the final 3D model less accurate. In this paper, an inpainting algorithm is applied to generate implied texture to fill holes that occurred from removing objects so that the generated 3D model does not contain any hole and becomes watertight. The modified exemplar-based inpainting algorithm was implemented on 2D images to remove unwanted objects, and then the image-based 3D modeling technique was applied to create a 3D model that did not contain any unwanted objects. The results show that the final 3D model is more accurate when applied the object removal process and the model provides better visualization for heritage structures.
引用
收藏
页码:151 / 158
页数:8
相关论文
共 50 条
  • [31] 3D growing deformable B-surface model for object detection
    Chen, XJ
    Teoh, EK
    2004 8TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION, VOLS 1-3, 2004, : 357 - 362
  • [32] 3D Reconstruction of Deformable Colon Structures based on Preoperative Model and Deep Neural Network
    Zhang, Shuai
    Zhao, Liang
    Huang, Shoudong
    Ma, Ruibin
    Hu, Boni
    Hao, Qi
    2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2021), 2021, : 1875 - 1881
  • [33] Modeling 3D deformable object with the active pyramid
    Reissman, PJ
    Magnin, IE
    INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 1997, 11 (07) : 1129 - 1139
  • [34] Modeling and analysis of 3D deformable object grasping
    Lazher, Zaidi
    Belhassen-Chedli, Bouzgarrou
    Sabourin, Laurent
    Youcef, Mezouar
    2014 23RD INTERNATIONAL CONFERENCE ON ROBOTICS IN ALPE-ADRIA-DANUBE REGION (RAAD), 2014,
  • [35] A Fast Deformable Model Based 3D Registration Algorithm for Image Guided Prostate Radiotherapy
    Zhou, J.
    Kim, S.
    Jabbour, S.
    Goyal, S.
    Haffty, B.
    Chen, T.
    Chang, S.
    Metaxas, D.
    Yue, N.
    MEDICAL PHYSICS, 2009, 36 (06)
  • [36] 3D multi-object deformable templates based on moment invariants
    Poupon, F
    Mangin, JF
    Frouin, V
    Magnin, I
    SCIA '97 - PROCEEDINGS OF THE 10TH SCANDINAVIAN CONFERENCE ON IMAGE ANALYSIS, VOLS 1 AND 2, 1997, : 149 - 155
  • [37] Constructing 3D Object Detectors Based on Deformable Convolutional Guided Depths
    Zheng, Xinwang
    Yang, Guangsong
    Yang, Lu
    Lu, Chengyu
    IEEE ACCESS, 2024, 12 : 162990 - 163000
  • [38] 3D exemplar-based random walks for tooth segmentation from cone-beam computed tomography images
    Pei, Yuru
    Ai, Xingsheng
    Zha, Hongbin
    Xu, Tianmin
    Ma, Gengyu
    MEDICAL PHYSICS, 2016, 43 (09) : 5040 - 5050
  • [39] 3D OBJECT TRACKING VIA BOUNDARY CONSTRAINED REGION-BASED MODEL
    Zhao, Song
    Wang, Lingfeng
    Sui, Wei
    Wu, Huai-Yu
    Pan, Chunhong
    2014 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2014, : 486 - 490
  • [40] Specularity Removal and Relighting of 3D Object Model for Virtual Exhibition
    Chow, Shu-Kam
    Chan, Kwok-Leung
    19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6, 2008, : 3819 - 3822