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Object recognition is one of the most important tasks in computer vision due to its wide variety of applications from small hand-held devices to surveillance systems in large public facilities. Even though biologically inspired approaches have been recently revealed to take another significant step forward to reduce its large power consumption, it still consumes relatively large amounts of energy...
Biological vision systems use saliency-based visual attention mechanisms to limit higher-level vision processing on the most visually-salient subsets of an input image. Among several computational models that capture the visual-saliency in biological system, an information theoretic AIM(Attention based on Information Maximization) algorithm has been demonstrated to predict human gaze patterns better...
Multi-dimensional (MD) Discrete Fourier Transform (DFT) is a key kernel algorithm in many signal processing algorithms, including radar data processing and medical imaging. Although there are many efficient software solutions, they are not suitable for applications that require fast response time. In this paper we focus on FPGA-based implementation of MDDFT. The proposed architecture is based on a...
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