A Scalable End-to-End Optimized Real-Time Image-Based Rendering Framework on Graphics Hardware

Abstract

This paper presents the system-level overview of a real-time image-based rendering framework performing multiple intermediate view synthesis, completely on the Graphics Processing Unit (GPU). The software design achieves high-performance, yet maintains flexibility and ease of development through a hierarchical layered architecture. The framework implements the intermediate view synthesis by a chain of consecutive processing modules, as an extension to the Middlebury open software structure, allowing it to benchmark quality and execution time of individual modules for end-to-end system performance optimization. The modules can be flexibly coordinated, enabling scalability to run the multiple view synthesis in real-time on both powerful and weak GPUs.