Oblique Projection

Oblique projection is a mathematical technique used to decompose high-dimensional data into lower-dimensional subspaces, revealing underlying structures and improving data analysis. Current research focuses on applying oblique projections in diverse fields, including signal processing (e.g., developing distributed algorithms for robust data fusion), image processing (e.g., metal artifact reduction in medical imaging and optical flow estimation in 360° images), and time series analysis (e.g., building probabilistic models for extracting low-dimensional dynamics from high-dimensional data). These advancements improve data analysis efficiency, enhance image quality, and enable more accurate modeling of complex systems, impacting various scientific disciplines and practical applications.