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Author:

王立春 (王立春.) | 杨超 (杨超.) | 信建佳 (信建佳.) | 张锐 (张锐.) | 张超杰 (张超杰.)

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incoPat zhihuiya

Abstract:

本发明公开了一种形状约束联合向量筛选的刚性物体6D位姿估计方法,可有效提高6D位姿估计精度。本发明定义一种用于描述图像中物体形状。本发明利用不同2D关键点之间的几何关系辅助2D关键点定位。同时在任意选取两个向量计算假设关键点时,现有技术不考虑所用向量的合理性,导致生成的假设关键点的位置偏差较大,本发明提出向量筛选策略,阻止不合理的向量计算假设关键点,从而减小假设关键点的位置偏差,最终提高位姿估计的性能。

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Patent Info :

Type: 发明申请

Patent No.: CN202310305086.8

Filing Date: 2023-03-27

Publication Date: 2023-07-07

Pub. No.: CN116402888A

Applicants: 北京工业大学;;北京钢铁侠科技有限公司

Legal Status: 实质审查

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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