The local image descriptor cores compute the energy, phase, and
orientation for every input image. The algorithm starts from a
multi-orientation analysis given by a set of Gabor filters.
Local features such as energy or phase can be used for on-road line
detection and orientation information (computed in a multiscale
fashion). They are typically used for many object recognition or complex
local descriptor developments. In addition, phase-based approach can be
interpreted as being a robust, complete low-level image representation
basis for the development of a complete image analysis framework. An
example is shown in Fig 1.
Cores are described in Handel-C and achieve a throughput of 36 fps for
an image resolution of 800 by 600 pixels. Hardware details are described
Fig 1. Whole system results (optical flow, disparity, and local
 M. Tomasi, M. Vanegas, F. Barranco, J. Diaz, E. Ros: Massive
Parallel-Hardware Architecture for Multiscale Stereo, Optical Flow and
Image-Structure Computation. IEEE Trans. Circuits Syst. Video Techn.
22(2): 282-294 (2012)