A novel method for robust multi-directional image projection computation

This paper introduces a novel method to calculate multi-directional projections of squared images, similar to the Radon transformation. Image projections are often used as object signatures for detection, matching and tracking techniques in computer vision. The Radon transformation provides a fast solution to calculate these pixel intensity sums. The proposed method is based on trigonometric functions and basic coordinate-geometry. The solution is implemented sequentially and the runtimes of a GPU-based implementation are measured and evaluated. The analysis of the results indicate that further research is applicable, new parallel models should be discussed.