Make it home
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.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jul 01, 2011
- Source ID
- 10.1145/2010324.1964981
Entities
People
- Chi-keung Tang
- Demetri Terzopoulos
- Lap-fai Yu
- Sai-kit Yeung
- Stanley Osher
- Tony F. Chan
Organizations
- Hong Kong University of Science and Technology
- National Science Foundation
- Office of Naval Research
- Research Grants Council, University Grants Committee
- Rice University
- University of California, Los Angeles