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    • 4. 发明授权
    • Robust sparse image matching for robotic surgery
    • 用于机器人手术的鲁棒稀疏图像匹配
    • US08184880B2
    • 2012-05-22
    • US12465029
    • 2009-05-13
    • Wenyi ZhaoChenyu WuDavid HirvonenTao ZhaoBrian D. HoffmanSimon Di Maio
    • Wenyi ZhaoChenyu WuDavid HirvonenTao ZhaoBrian D. HoffmanSimon Di Maio
    • G06T7/00
    • G06K9/6211G06T7/33
    • Systems, methods, and devices are used to match images. Points of interest from a first image are identified for matching to a second image. In response to the identified points of interest, regions and features can be identified and used to match the points of interest to a corresponding second image or second series of images. Regions can be used to match the points of interest when regions of the first image are matched to the second image with high confidence scores, for example above a threshold. Features of the first image can be matched to the second image, and these matched features may be used to match the points of interest to the second image, for example when the confidence scores for the regions are below the threshold value. Constraint can be used to evaluate the matched points of interest, for example by excluding bad points.
    • 系统,方法和设备用于匹配图像。 识别来自第一图像的兴趣点以匹配第二图像。 响应于所识别的兴趣点,区域和特征可被识别并用于将感兴趣点与对应的第二图像或第二系列图像相匹配。 当第一图像的区域与具有高置信度得分的第二图像匹配时,例如高于阈值,可以使用区域来匹配感兴趣点。 第一图像的特征可以匹配第二图像,并且这些匹配的特征可以用于将感兴趣的点与第二图像匹配,例如当区域的置信度得分低于阈值时。 约束可用于评估匹配的兴趣点,例如排除不良点。
    • 5. 发明授权
    • Robust sparse image matching for robotic surgery
    • 用于机器人手术的鲁棒稀疏图像匹配
    • US08639000B2
    • 2014-01-28
    • US13454297
    • 2012-04-24
    • Wenyi ZhaoChenyu WuDavid HirvonenTao ZhaoBrian D. HoffmanSimon Di Maio
    • Wenyi ZhaoChenyu WuDavid HirvonenTao ZhaoBrian D. HoffmanSimon Di Maio
    • G06T7/00
    • G06K9/6211G06T7/33
    • Systems, methods, and devices are used to match images. Points of interest from a first image are identified for matching to a second image. In response to the identified points of interest, regions and features can be identified and used to match the points of interest to a corresponding second image or second series of images. Regions can be used to match the points of interest when regions of the first image are matched to the second image with high confidence scores, for example above a threshold. Features of the first image can be matched to the second image, and these matched features may be used to match the points of interest to the second image, for example when the confidence scores for the regions are below the threshold value. Constraint can be used to evaluate the matched points of interest, for example by excluding bad points.
    • 系统,方法和设备用于匹配图像。 识别来自第一图像的兴趣点以匹配第二图像。 响应于所识别的兴趣点,区域和特征可被识别并用于将感兴趣点与对应的第二图像或第二系列图像相匹配。 当第一图像的区域与具有高置信度得分的第二图像匹配时,例如高于阈值,可以使用区域来匹配感兴趣点。 第一图像的特征可以匹配第二图像,并且这些匹配的特征可以用于将感兴趣的点与第二图像匹配,例如当区域的置信度得分低于阈值时。 约束可用于评估匹配的兴趣点,例如排除不良点。