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This paper presents hardware architecture with low-complexity face detection (FD) and parallel processing of local binary pattern (LBP) generation and adaptive boosting (AdaBoost) algorithm using Haar features for the intelligent service robot system. We designed a fully pipelined architecture implemented with the design techniques, such as variable image scaling and parallel processing multiple classifiers...
Among the image features for object recognition, speeded up robust features (SURF) have been widely implemented due to their hardware-friendly characteristics and high accuracy. However, because adopting a fully internal memory-based architecture and a field programmable gate array having large memories for a high performance, most of them are infeasible to the application specific integrated chip...
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