A Local Reference Frame Construction Method Based on the Signed Surface Variation

• 作者: Xiaopeng YAN Wei ZHOU Rencan PENG Wenliang PAN Lei WANG Guoxin HU
• 来源期刊: 测绘学报（英文版）
• 年，卷（期）: 2021,（3）
• 所属期刊栏目: Special Issue
• 页码范围: 25-37
• 页数: 13页
• 语种: 英文

摘要

A fast local reference frame ( LRF) construction method based on the signed surface variation is proposed, which can adapt to the real-time applications such as self-driving, face recognition, object detection. The z-axis of the LRF is generated based on the concavity of the local surface of keypoint. The x-axis is constructed by the weighted vector sum of a set of projection vectors of the local neighborhoods around keypoint. The performance of the proposed LRF is evaluated on six standard datasets and compared with six state-of-the-art LRF construction methods ( e. g., BOARD, FLARE, SHOT, RoPS and TOLDI). Experimental results validate the high repeatability, robustness, universality and time efficiency of our method.