Piecewise-planar Reconstruction of Multi-room Interiors with Arbitrary Wall Arrangements

Reconstructing the as‐built architectural shape of building interiors has emerged in recent years as an important and challenging research problem. An effective approach must be able to faithfully capture the architectural structures and separate permanent components from clutter (e.g. furniture), w...

Full description

Saved in:
Bibliographic Details
Published in:Computer graphics forum Vol. 35; no. 7; pp. 179 - 188
Main Authors: Mura, C., Mattausch, O., Pajarola, R.
Format: Journal Article
Language:English
Published: Oxford Blackwell Publishing Ltd 01.10.2016
Subjects:
Analysis
and object representations
Architecture
Categories and Subject Descriptors (according to ACM CCS)
Computer graphics
Constraints
Graphical representations
I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling-Boundary representationsCurve
I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling—Boundary representationsCurve, surface, solid, and object representations
Interior design
Minimization
Reconstruction
Renovation & restoration
solid
State of the art
Studies
surface
Walls
ISSN:0167-7055, 1467-8659
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Reconstructing the as‐built architectural shape of building interiors has emerged in recent years as an important and challenging research problem. An effective approach must be able to faithfully capture the architectural structures and separate permanent components from clutter (e.g. furniture), while at the same time dealing with defects in the input data. For many applications, higher‐level information on the environment is also required, in particular the shape of individual rooms. To solve this ill‐posed problem, state‐of‐the‐art methods assume constrained input environments with a 2.5D or, more restrictively, a Manhattan‐world structure, which significantly restricts their applicability in real‐world settings. We present a novel pipeline that allows to reconstruct general 3D interior architectures, significantly increasing the range of real‐world architectures that can be reconstructed and labeled by any interior reconstruction method to date. Our method finds candidate permanent components by reasoning on a graph‐based scene representation, then uses them to build a 3D linear cell complex that is partitioned into separate rooms through a multi‐label energy minimization formulation. We demonstrate the effectiveness of our method by applying it to a variety of real‐world and synthetic datasets and by comparing it to more specialized state‐of‐the‐art approaches.
Bibliography:ArticleID:CGF13015
istex:003AA596C0DF4A617E4353900C0BC018EF0EA159
ark:/67375/WNG-TCRM9STH-B
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ObjectType-Article-1
ObjectType-Feature-2
content type line 23
ISSN:0167-7055
1467-8659
DOI:10.1111/cgf.13015