Moving mobile graphics

Barker, Jesse; Martín, Samuel; Guy, Romain; Munoz-Lopez, Jose-Emilio; Kapoulkine, Arseny; Chang, Kay W.

doi:10.1145/3388769.3407515

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nonetheless, synthesizing novel views on embedded devices is still a significant challenge due to the limited computational power and the restricted transfer bandwidth between the GPU and the main memory [14]. In addition, as such devices use batteries, efficient energy management is a concern [15].…”

Section: Introductionmentioning

confidence: 99%

Novel view synthesis in embedded virtual reality devices

Laurie¹,

Daniele²,

Sarah³

et al. 2022

View full text Add to dashboard Cite

Virtual Reality and Free Viewpoint navigation require highquality rendered images to be realistic. Current hardware assisted raytracing methods cannot reach the expected quality in real-time and are also limited by the 3D mesh quality. An alternative is depth image-based rendering (DIBR) where the input only consists of images and their associated depth maps for synthesizing virtual views to the Head Mounted Display (HMD). The MPEG Immersive Video (MIV) standard uses such a DIBR algorithm called the Reference View Synthesizer (RVS). We have first implemented a GPU version, called the Real-time Accelerated View Synthesizer (RaViS), that synthesizes two virtual views in real-time for the HMD. In the present paper, we explore the differences between desktop and embedded GPU platforms, porting RaViS to an embedded HMD without the need for a separate, discrete desktop GPU. The proposed solution gives a first insight into DIBR View Synthesis techniques in embedded HMDs using OpenGL and Vulkan, a cross-platform 3D rendering library with support for embedded devices.

show abstract

Section: Introductionmentioning

confidence: 99%