专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明申请

US20100215249A1 AUTOMATED IMAGE SEPARATION METHOD 有权
标题翻译：自动图像分离方法
公开(公告)号：US20100215249A1
公开(公告)日：2010-08-26
申请号：US12390358
申请日：2009-02-20
申请人： Geremy Heitz , Gal Chechik
发明人： Geremy Heitz , Gal Chechik
IPC分类号： G06K9/00
CPC分类号： G06T7/593 , G06T2207/10116 , G06T2207/30112
摘要： A method of decomposing a set of scans of different views of overlapping objects into constituent objects is presented. The method involves an initialization process whereby keypoints in two views are determined and matched, disparity between keypoint pairs are computed, and the keypoints are grouped into clusters based on their disparities. Following the initialization process is an iterative optimization process whereby a cost function is calculated and minimized assuming a fixed composition matrix and re-solved assuming a fixed attenuation coefficient. Then, the composition matrix and the attenuation coefficient are updated simultaneously, and the solving, the re-solving, and the updating steps are repeated until there is no significant improvement in the result.
摘要翻译：提出了将重叠对象的不同视图的一组扫描分解为组成对象的方法。该方法涉及一个初始化过程，其中确定和匹配两个视图中的关键点，并且计算关键点对之间的差异，并且根据其差异将关键点分组成簇。在初始化过程之后是迭代优化过程，其中假设固定的组合矩阵并且假设固定衰减系数重新求解，计算和最小化成本函数。然后，组合矩阵和衰减系数同时更新，重复解决，重新解决和更新步骤，直到结果没有显着改善。

2. 发明授权

US08326036B2 Automated image separation method 有权
标题翻译：自动图像分离方法
公开(公告)号：US08326036B2
公开(公告)日：2012-12-04
申请号：US12390358
申请日：2009-02-20
申请人： Geremy Heitz , Gal Chechik
发明人： Geremy Heitz , Gal Chechik
IPC分类号： G06K9/34
CPC分类号： G06T7/593 , G06T2207/10116 , G06T2207/30112
摘要： A method of decomposing a set of scans of different views of overlapping objects into constituent objects is presented. The method involves an initialization process whereby keypoints in two views are determined and matched, disparity between keypoint pairs are computed, and the keypoints are grouped into clusters based on their disparities. Following the initialization process is an iterative optimization process whereby a cost function is calculated and minimized assuming a fixed composition matrix and re-solved assuming a fixed attenuation coefficient. Then, the composition matrix and the attenuation coefficient are updated simultaneously, and the solving, the re-solving, and the updating steps are repeated until there is no significant improvement in the result.
摘要翻译：提出了将重叠对象的不同视图的一组扫描分解为组成对象的方法。该方法涉及一个初始化过程，其中确定和匹配两个视图中的关键点，并且计算关键点对之间的差异，并且根据其差异将关键点分组成簇。在初始化过程之后是迭代优化过程，其中假设固定的组合矩阵并且假设固定衰减系数重新求解，计算和最小化成本函数。然后，组合矩阵和衰减系数同时更新，重复解决，重新解决和更新步骤，直到结果没有显着改善。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式