Multiresolution Gabor Feature Extraction for Real Time Applications

Yong Cheol Peter Cho, Nandhini Chandramoorthy, Kevin M. Irick, Vijaykrishnan Narayanan

Abstract: Multiresolution Gab or filters are used for feature extraction for a variety of applications. Most hardware implementations have focused on iterative mechanisms on fixed hardware for implementing the different levels of resolution. In contrast, we present a configurable architecture that enhances the resource utilization of the hardware fabric. Our results show that our implementation achieves real-time performance on 2048x1536 images and exhibits 6 times speed up over a GPU implementation. Further, our FPGA implementation achieves an energy-efficiency of processing 0.4 fps/W as compared to the GPU that achieves 0.036 fps/W.