Visual Vocabulary Processor Based on Binary Tree Architecture for Real-Time Object Recognition in Full-HD Resolution
IEEE Transactions on Very Large Scale Integration (VLSI) Systems(2012)
摘要
Feature matching is an indispensable process for object recognition, which is an important issue for wearable devices with video analysis functionalities. To implement a low-power SoC for object recognition, the proposed visual vocabulary processor (VVP) is employed to accelerate the speed of feature matching. The VVP can transform hundreds of 128-D SIFT vectors into a 64-D histogram for object matching by using the binary-tree-based architecture, and 16 calculators for the computations of the Euclidean distances are designed for each of the two processors in each level. A total of 126 visual words can be saved in the six-level hierarchical memory, which instantly offers the data required for the matching process, and more than 5 times of bandwidth can be saved compared with the non-binary-tree-based architecture. As a part of the recognition SoC, the VVP is implemented with the 65-nm CMOS technology, and the experimental results show that the gate count and the average power consumption are 280 K and 5.6 mW, respectively.
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关键词
hardware architecture,cmos integrated circuits,video signal processing,high definition video,low-power soc,sift vectors,binary-tree-based architecture,matching process,digital circuit,video analysis functionality,image matching,recognition soc,size 65 nm,binary tree architecture,image resolution,power 5.6 mw,six-level hierarchical memory,visual word,computer vision,low-power electronics,wearable devices,system-on-chip,cmos technology,vvp,nonbinary-tree-based architecture,temperature 280 k,full-hd resolution,object recognition,system-on-a-chip (soc),proposed visual vocabulary processor,feature matching,real-time object recognition,object matching,non-binary-tree-based architecture,visual vocabulary processor,feature matching process,real-time object recognition process,indispensable process,euclidean distances,low power electronics,system on chip
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