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公开(公告)号：US10296780B2
公开(公告)日：2019-05-21
申请号：US15452613
申请日：2017-03-07
申请人： Sofia Karygianni , Leonidas Spinoulas , Manuel Martinello , Noah Bedard , Pascal Frossard , Ivana Tosic
发明人： Sofia Karygianni , Leonidas Spinoulas , Manuel Martinello , Noah Bedard , Pascal Frossard , Ivana Tosic
摘要： A three-dimensional image of the eardrum is automatically registered. In one aspect, a three-dimensional image (e.g., depth map) of an eardrum is produced from four-dimensional light field data captured by a light field otoscope. The three-dimensional image is registered according to a predefined standard form. The eardrum is then classified based on the registered three-dimensional image. Registration may include compensation for out-of-plane rotation (tilt), for in-plane rotation, for center location, for translation, and/or for scaling.
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公开(公告)号：US20180260611A1
公开(公告)日：2018-09-13
申请号：US15452613
申请日：2017-03-07
申请人： Sofia Karygianni , Leonidas Spinoulas , Manuel Martinello , Noah Bedard , Pascal Frossard , Ivana Tosic
发明人： Sofia Karygianni , Leonidas Spinoulas , Manuel Martinello , Noah Bedard , Pascal Frossard , Ivana Tosic
CPC分类号： G06K9/00201 , A61B1/227 , G06K9/6224 , G06K2209/051 , G06T3/40 , G06T7/0014 , G06T7/33 , G06T7/344 , G06T2207/10028 , G06T2207/10052 , G06T2207/30004
摘要： A three-dimensional image of the eardrum is automatically registered. In one aspect, a three-dimensional image (e.g., depth map) of an eardrum is produced from four-dimensional light field data captured by a light field otoscope. The three-dimensional image is registered according to a predefined standard form. The eardrum is then classified based on the registered three-dimensional image. Registration may include compensation for out-of-plane rotation (tilt), for in-plane rotation, for center location, for translation, and/or for scaling.
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公开(公告)号：US20180260616A1
公开(公告)日：2018-09-13
申请号：US15453394
申请日：2017-03-08
CPC分类号： G06K9/00288 , G06K9/00 , G06K9/00268 , G06K9/4642 , G06K2209/05
摘要： Eardrums are automatically classified based on a feature set from a three-dimensional image of the eardrum, such as might be derived from a plenoptic image captured by a light field otoscope. In one aspect, a grid is overlaid onto the three-dimensional image of the eardrum. The grid partitions the three-dimensional image into cells. One or more descriptors are calculated for each of the cells, and the feature set includes the calculated descriptors. Examples of descriptors include various quantities relating to the depth and/or curvature of the eardrum. In another aspect, isocontour lines (of constant depth) are calculated for the three-dimensional image of the eardrum. One or more descriptors are calculated for the isocontour lines, and the feature set includes the calculated descriptors. Examples of descriptors include various quantities characterizing the isocontour lines.
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公开(公告)号：US10275644B2
公开(公告)日：2019-04-30
申请号：US15453394
申请日：2017-03-08
摘要： Eardrums are automatically classified based on a feature set from a three-dimensional image of the eardrum, such as might be derived from a plenoptic image captured by a light field otoscope. In one aspect, a grid is overlaid onto the three-dimensional image of the eardrum. The grid partitions the three-dimensional image into cells. One or more descriptors are calculated for each of the cells, and the feature set includes the calculated descriptors. Examples of descriptors include various quantities relating to the depth and/or curvature of the eardrum. In another aspect, isocontour lines (of constant depth) are calculated for the three-dimensional image of the eardrum. One or more descriptors are calculated for the isocontour lines, and the feature set includes the calculated descriptors. Examples of descriptors include various quantities characterizing the isocontour lines.
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