NDLI: Restoring surfaces after removing objects in indoor 3D point clouds

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Restoring surfaces after removing objects in indoor 3D point clouds

Content Provider	ACM Digital Library
Author	Doan, Nghia Huu Dinh, Tien Ba Dinh, Thang Ba Pham, Duy
Abstract	In this paper, we present fast approaches for object segmentation and surface restoration of indoor 3D point clouds, which are the results of 3D reconstruction methods or range scanners. These two problems are significant in constructing a augmented reality system using a range camera to build a virtual environment and provide the interaction mechanisms to the virtual model. For point-cloud segmentation, we apply a density-based clustering algorithm to extract the desired object after removing its ground planes. This low-complexity method gives stable results with high accuracy. After the segmented object has been removed, a restoration algorithm is proposed in such a case that the holes on the ground plane are revealed by removed objects. These holes are there because the corresponding surfaces are hidden by the segmented objects in the scanner phase. The process of filling the holes includes an object-ground-plane detection, a geometric restoration and a color fusion step. The newly added points are directly interpolated from the existing object points, which cover the holes in the original point clouds. Our approaches are experimented through a variety of test datasets and yield promising results.
Starting Page	189
Ending Page	197
Page Count	9
File Format	PDF
ISBN	9781450324540
DOI	10.1145/2542050.2542088
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-12-05
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Graph-cuts Holes filling Segmentation Clustering Depth 3d reconstruction Dbscan Sensor
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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