A parallel mediated reality platform

Realtime image processing provides a general framework for robust mediated reality problems. This paper presents a realtime mediated reality system that is built upon realtime image processing algorithms. It has been shown that the graphics processing unit (GPU) is capable of efficiently performing image processing tasks. The system presented uses a parallel GPU architecture for image processing that enables realtime mediated reality. Our implementation has many benefits; the graphics hardware has high throughput and low latency; the GPU's are not prone to jitter. Additionally, the CPU is kept available for user applications. The system is easily constructed, consisting of readily available commodity hardware.

• Type: Conference
• Year: 2004
• Where: ICIP
• Authors: Rosco Hill, James Fung, Steve Mann
• Keywords: ICIP 2004, Image Processing, Image Processing Algorithms, Image Processing Tasks, Realtime Image Processing, Realtime Mediated Reality, Robust Mediated Reality