A point-based rendering approach for real-time interaction on mobile devices

Abstract

Mobile device is an important interactive platform. Due to the limitation of computation, memory, display area and energy, how to realize the efficient and real-time interaction of 3D models based on mobile devices is an important research topic. Considering features of mobile devices, this paper adopts remote rendering mode and point models, and then, proposes a transmission and rendering approach that could interact in real time. First, improved simplification algorithm based on MLS and display resolution of mobile devices is proposed. Then, a hierarchy selection of point models and a QoS transmission control strategy are given based on interest area of operator, interest degree of object in the virtual environment and rendering error. They can save the energy consumption. Finally, the rendering and interaction of point models are completed on mobile devices. The experiments show that our method is efficient.virtual environment, mobile devices, point models simplification, QoS control, area of interest, interest degree

Viewpoint-Predicting-Based Remote Rendering on Mobile Devices Using Multiple Depth Images

“…On one hand, the computing ability and storage space of mobile devices is limited, which still has significant gap with PCs. On the other hand, the wireless network bandwidth is restricted and unstable [1][2][3]. Remote rendering can mainly be divided into two types: Model Based Rendering (MBR) and Image Based Rendering (IBR).…”

An adaptive splitting and transmission control method for rendering point model on mobile devices

“…Most of traditional researches of remote rendering on mobile devices simply follow the work on desktop, and pay little attention to the characteristics of mobile devices and wireless network. Only a few works focus on how to deal with packet loss on wireless network and how to build statistical geometry representation so as to reduce the transmission data [Liang et al 2009] [Yang et al 2008] [Kalaiah and Varshney 2005]. Different from them, this work focuses on how to reduce both the transmission frequency and transmission data.…”