On-Board Detection and Matching of Feature Points
AbstractThis paper presents a FPGA-based method for on-board detection and matching of the feature points. With the proposed method, a parallel processing model and a pipeline structure are presented to ensure a high frame rate at processing speed, but with a low power consumption. To save the FPGA resources and increase the processing speed, a model which combines the modified SURF detector and a BRIEF descriptor, is presented as well. Three pairs of images with different land coverages are used to evaluate the performance of FPGA-based implementation. The experiment results demonstrate that (1) when the image pairs with artificial features (such as buildings and roads), the performance of FPGA-based implementation is better than those image pairs with natural features (such as woods); (2) the proposed FPGA-based method is capable of ensuring the processing speed at a high frame rate, such as the speed of can achieve 304 fps under a 100 MHz clock frequency. The speedup of the proposed implementation is about 27 times higher than that when using the PC-based implementation. View Full-Text
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Huang, J.; Zhou, G. On-Board Detection and Matching of Feature Points. Remote Sens. 2017, 9, 601.
Huang J, Zhou G. On-Board Detection and Matching of Feature Points. Remote Sensing. 2017; 9(6):601.Chicago/Turabian Style
Huang, Jingjin; Zhou, Guoqing. 2017. "On-Board Detection and Matching of Feature Points." Remote Sens. 9, no. 6: 601.
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