Abstract

With the rapid development of Web Virtual Reality (WebVR) technology, increasing focus has been placed on this domain. WebVR indoor scenario design studies have been of important value in both academia and industry. However, many bottlenecks still need to be overcome, such as the weak computing capacity and limited memory space available in web browsers. In particular, there are many deficiencies in virtual scenes, i.e., lack of fidelity, low automation and poor scene interactability. In this paper, we propose a novel WebVR indoor furniture layout design framework to enhance the capabilities of automatic furniture layout and significantly enhance the interactiveness of virtual scenarios. In particular, we present a hand-drawn sketch recognition scheme based on the ResNet convolutional neural network (CNN), which can strongly improve scenario interactiveness by allowing the user to conveniently add new furniture by means of free-hand drawing operations rather than tedious manual drag-and-pull operations. In addition, based on a deep Q-learning network (DQN), the best positions (states) for these pieces of furniture (agents) in virtual scenarios can be automatically determined, making it easy to satisfy popular design principles. Finally, we report experiments conducted to validate the feasibility of our proposed framework, and the results fully demonstrate that this framework is completely feasible.

Highlights

  • With the rapid development of web technology, the combination of virtual reality (VR) and web technology, i.e., Web Virtual Reality (WebVR) technology, has attracted increasing attention

  • Most of the advances in virtual effects achieved so far in traditional VR technology have mainly relied on third-part devices, such as the Leap Motion and Kinect

  • We focus on designing a better method for solving the virtual indoor furniture layout problem to effectively support human-centered indoor scenario design, i.e., we solve the virtual indoor furniture layout (VIFL) problem for designing a reasonable and personalized furniture layout in a WebVR indoor scene

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Summary

Introduction

With the rapid development of web technology, the combination of virtual reality (VR) and web technology, i.e., Web Virtual Reality (WebVR) technology, has attracted increasing attention. There are still many problems that need to be solved; e.g., because of the limited capabilities of current interactive schemes for effectively specifying and arranging 3D furniture, such 3D furniture manipulations require excessive labor-intensive dragging operations, strongly decreasing the interest of users who might otherwise be strongly attracted to participate in indoor layout design. There is a need to effectively eliminate many of the dull and tedious tasks currently required in layout design, for example, by enabling the automatic generation of indoor layout results in accordance with popular layout principles. In this way, users’ interest can be more effectively captured to encourage them to positively engage in indoor layout design

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