Interactive furniture layout using interior design guidelines

Merrell, Paul; Schkufza, Eric; Li, Zeyang; Agrawala, Maneesh; Koltun, Vladlen

doi:10.1145/1964921.1964982

Cited by 172 publications

(193 citation statements)

References 26 publications

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“…Our layout generator uses a Monte Carlo approach derived from the MetropolisHastings algorithm [88], following from similar implementations that have been shown to be effective for creating constraint-based layouts of objects in space [71,137]. This algorithm evaluates a sequence of proposed solutions, which are incrementally improved on for a fixed number of iterations, with some allowance for random perturbations.…”

Section: Automatic Layout Generatormentioning

confidence: 99%

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The personal cockpit

Ens

Finnegan

Irani

2014

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

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Section: Automatic Layout Generatormentioning

confidence: 99%

“…Similar implementations have been shown to be effective for creating constraint-based layouts of objects in space [71,137]. This algorithm evaluates proposed solutions which are incrementally improved over a fixed number of iterations, with some allowance for random perturbations.…”

Section: Window Layout Algorithmmentioning

confidence: 99%

The personal cockpit

Ens

Finnegan

Irani

2014

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

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“…Merrell et al [3] proposed to arrange furniture based on interior design guidelines using a hardware-accelerated Monte Carlo sampler for the density function. Yu et al [4] presented a system to automatically arrange a variety of furniture objects and generate realistic indoor scenes.…”

Section: Related Workmentioning

confidence: 99%

Congestion-Aware Warehouse Flow Analysis and Optimization

Alhalawani

Mitra

2015

Advances in Visual Computing

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Abstract.Generating realistic configurations of urban models is a vital part of the modeling process, especially if these models are used for evaluation and analysis. In this work, we address the problem of assigning objects to their storage locations inside a warehouse which has a great impact on the quality of operations within a warehouse. Existing storage policies aim to improve the efficiency by minimizing travel time or by classifying the items based on some features. We go beyond existing methods as we analyze warehouse layout network in an attempt to understand the factors that affect traffic within the warehouse. We use simulated annealing based sampling to assign items to their storage locations while reducing traffic congestion and enhancing the speed of order picking processes. The proposed method enables a range of applications including efficient storage assignment, warehouse reliability evaluation and traffic congestion estimation.

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“…MCMC sampling is used to approximate the posterior over partitions of a given image. Merrell et al [120] (and also Yu et al [121]) propose methods for searching in a parameterized interior design space for architectural models. Their interactive furniture layout system assists users by suggesting furniture arrangements that are based on interior design guidelines.…”

Section: Controlling Procedural Modelingmentioning

confidence: 99%

3D Design and Modeling of Smart Cities from a Computer Graphics Perspective

Aliaga

2012

ISRN Computer Graphics

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.Modeling cities, and urban spaces in general, is a daring task for computer graphics, computer vision, and visualization. Understanding, describing, and modeling the geometry and behavior of cities are significant challenges that ultimately benefit urban planning and simulation, mapping and visualization, emergency response, and entertainment. In this paper, we have collected and organized research which addresses this multidisciplinary challenge. In particular, we divide research in modeling cities and urban spaces into the areas of geometrical modeling and of behavioral modeling. The first area overlaps significantly with computer graphics and computer vision-our focus is on algorithms that produce intricate geometry quickly from a compact set of specifications (i.e., procedural modeling). The second area of behavioral modeling centers on understanding the underlying socioeconomic, meteorological, and resource consumption/waste production processes occurring within an urban space. Research in urban modeling, even from a computer graphics perspective, must tie the two areas of geometric and behavioral modeling together in order to ensure that useful 3D modeling techniques are developed and are placed within their needed context. In addition, we discuss the growing trend of inverse procedural modeling and some sample urban applications.

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Interactive furniture layout using interior design guidelines

Cited by 172 publications

References 26 publications

The personal cockpit

The personal cockpit

Congestion-Aware Warehouse Flow Analysis and Optimization

3D Design and Modeling of Smart Cities from a Computer Graphics Perspective

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