Compound Phase Correlation for Multiple Motion Decomposition in Target Extraction and DEM Generation
Authors: Jian Guo Liu and Hongshi Yan
The recent research of SEAS DTC project SEN001 is focused on multiple motion decomposition to improve the accuracy of disparity measurement of optical flow for target tracking and DEM generation. The research has led to a major technical breakthrough in the development of a novel method: Compound Phase Correlation (CPC). Consequently, a new combined approach has been implemented in the Phase Correlation Image Analysis System (PCIAS) for automatic PC/CPC scanning to achieve optimal accuracy and processing speed for disparity estimation in image pairs with sharp boundaries of motions or topography. Beside, a simple method for phase correlation quality is also proposed, which is the key parameter for the automation of the combined phase correlation scan.
Journals
- Anglo French Innovation and Technology Partnership on Materials and Components for Missiles
- Through Life Capability Vetronics Systems Integration Testbed
- Compound Phase Correlation for Multiple Motion Decomposition in Target Extraction and DEM Generation
- Learning Co-operative Decision Strategies
- Autonomous Soaring Project Phase Two