Direct feature extraction in a foveated environment
Foveated sampling and representation of images is a powerful tool for various vision applications. However, there are many inherent difficulties in implementing it. We present a simple and efficient mechanism to manipulate image analysis operators directly on the foveated image; a single typed table-based structure is used to represent various known operators. Using the complex log as our foveation method, we show how several operators such as edge detection and Hough transform could be efficiently computed almost at frame rate, and discuss the complexity of our approach.
edge detection hough transform foveated vision log polar mapping active vision interest operators symmetry operators spatial masks