Title
Make it home: automatic optimization of furniture arrangement
Abstract
We present a system that automatically synthesizes indoor scenes realistically populated by a variety of furniture objects. Given examples of sensibly furnished indoor scenes, our system extracts, in advance, hierarchical and spatial relationships for various furniture objects, encoding them into priors associated with ergonomic factors, such as visibility and accessibility, which are assembled into a cost function whose optimization yields realistic furniture arrangements. To deal with the prohibitively large search space, the cost function is optimized by simulated annealing using a Metropolis-Hastings state search step. We demonstrate that our system can synthesize multiple realistic furniture arrangements and, through a perceptual study, investigate whether there is a significant difference in the perceived functionality of the automatically synthesized results relative to furniture arrangements produced by human designers.
Year
DOI
Venue
2011
10.1145/1964921.1964981
ACM Trans. Graph.
Keywords
Field
DocType
large search space,furniture arrangement,sensibly furnished indoor scene,automatic optimization,system extract,realistic furniture arrangement,furniture object,cost function,metropolis-hastings state search step,various furniture object,multiple realistic furniture arrangement,search space,virtual reality,interior design,simulated annealing,metropolis hastings,procedural modeling,spatial relationships,stochastic optimization
Simulated annealing,Mathematical optimization,Stochastic optimization,Visibility,Procedural modeling,Virtual reality,Computer graphics (images),Computer science,Interior design,Prior probability,Encoding (memory)
Journal
Volume
Issue
ISSN
30
4
0730-0301
Citations 
PageRank 
References 
119
3.76
11
Authors
6
Search Limit
100119
Name
Order
Citations
PageRank
Lap-Fai Yu131624.87
Sai Kit Yeung242027.17
Chi-Keung Tang32400143.41
Demetri Terzopoulos4140804210.64
Tony F. Chan58733659.77
Stanley Osher67973514.62