1 research outputs found
FPGA-based Binocular Image Feature Extraction and Matching System
Image feature extraction and matching is a fundamental but computation
intensive task in machine vision. This paper proposes a novel FPGA-based
embedded system to accelerate feature extraction and matching. It implements
SURF feature point detection and BRIEF feature descriptor construction and
matching. For binocular stereo vision, feature matching includes both tracking
matching and stereo matching, which simultaneously provide feature point
correspondences and parallax information. Our system is evaluated on a ZYNQ
XC7Z045 FPGA. The result demonstrates that it can process binocular video data
at a high frame rate (640480 @ 162fps). Moreover, an extensive test
proves our system has robustness for image compression, blurring and
illumination.Comment: Accepted for the 4th International Conference on Multimedia Systems
and Signal Processing (ICMSSP 2019