TY - CONF T1 - Model-based OpenMP implementation of a 3D facial pose tracking system T2 - 2006 International Conference on Parallel Processing Workshops, 2006. ICPP 2006 Workshops Y1 - 2006 A1 - Saha,S. A1 - Chung-Ching Shen A1 - Chia-Jui Hsu A1 - Aggarwal,G. A1 - Veeraraghavan,A. A1 - Sussman, Alan A1 - Bhattacharyya, Shuvra S. KW - 3D facial pose tracking system KW - application modeling KW - application program interfaces KW - application scheduling KW - coarse-grain dataflow graphs KW - Concurrent computing KW - data flow graphs KW - Educational institutions KW - face recognition KW - IMAGE PROCESSING KW - image processing applications KW - Inference algorithms KW - Message passing KW - OpenMP platform KW - parallel implementation KW - PARALLEL PROCESSING KW - parallel programming KW - Particle tracking KW - Processor scheduling KW - SHAPE KW - shared memory systems KW - shared-memory systems KW - Solid modeling KW - tracking AB - Most image processing applications are characterized by computation-intensive operations, and high memory and performance requirements. Parallelized implementation on shared-memory systems offer an attractive solution to this class of applications. However, we cannot thoroughly exploit the advantages of such architectures without proper modeling and analysis of the application. In this paper, we describe our implementation of a 3D facial pose tracking system using the OpenMP platform. Our implementation is based on a design methodology that uses coarse-grain dataflow graphs to model and schedule the application. We present our modeling approach, details of the implementation that we derived based on this modeling approach, and associated performance results. The parallelized implementation achieves significant speedup, and meets or exceeds the target frame rate under various configurations JA - 2006 International Conference on Parallel Processing Workshops, 2006. ICPP 2006 Workshops PB - IEEE SN - 0-7695-2637-3 M3 - 10.1109/ICPPW.2006.55 ER -