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公开(公告)号：US20170178291A1
公开(公告)日：2017-06-22
申请号：US15448138
申请日：2017-03-02
发明人： Zhe Lin , Radomir Mech , Xiaohui Shen , Brian L. Price , Jianming Zhang , Anant Gilra , Jen-Chan Jeff Chien
CPC分类号： G06T3/40 , G06K9/4671 , G06T3/0012 , G06T11/60 , G06T2210/22
摘要： Image cropping suggestion using multiple saliency maps is described. In one or more implementations, component scores, indicative of visual characteristics established for visually-pleasing croppings, are computed for candidate image croppings using multiple different saliency maps. The visual characteristics on which a candidate image cropping is scored may be indicative of its composition quality, an extent to which it preserves content appearing in the scene, and a simplicity of its boundary. Based on the component scores, the croppings may be ranked with regard to each of the visual characteristics. The rankings may be used to cluster the candidate croppings into groups of similar croppings, such that croppings in a group are different by less than a threshold amount and croppings in different groups are different by at least the threshold amount. Based on the clustering, croppings may then be chosen, e.g., to present them to a user for selection.
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2.发明授权Target region filling involving source regions, depth information, or occlusions 有权涉及源区域的目标区域填充，深度信息或遮挡公开(公告)号：US09350969B2
公开(公告)日：2016-05-24
申请号：US13866694
申请日：2013-04-19
IPC分类号： H04N13/00
CPC分类号： H04N13/111 , H04N13/106
摘要： Target region filling techniques are described. Techniques are described in which stereo consistency is promoted between target regions, such as by sharing information during computation. Techniques are also described in which target regions of respective disparity maps are completed to promote consistency between the disparity maps. This estimated disparity may then be used as a guide to completion of a missing texture in the target region. Techniques are further described in which cross-image searching and matching is employed by leveraging a plurality of images. This may including giving preference to matches with cross-image consistency to promote consistency, thereby enforcing stereo consistency between stereo images when applicable.
摘要翻译： 描述目标区填充技术。 描述了在目标区域之间促进立体一致性的技术，例如通过在计算期间共享信息。 还描述了其中完成各个视差图的目标区域以促进视差图之间的一致性的技术。 然后可以将该估计的差异用作在目标区域中完成缺失纹理的指导。 进一步描述了通过利用多个图像来采用跨图像搜索和匹配的技术。 这可能包括优先考虑与跨图像一致性的匹配以促进一致性，从而在适用时实现立体图像之间的立体一致性。
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公开(公告)号：US09208547B2
公开(公告)日：2015-12-08
申请号：US13720258
申请日：2012-12-19
发明人： Scott D. Cohen , Brian L. Price , Chenxi Zhang
CPC分类号： G06T5/50 , G06T5/002 , G06T2207/10012 , G06T2207/20104
摘要： Stereo correspondence smoothness tool techniques are described. In one or more implementations, an indication is received of a user-defined region in at least one of a plurality of stereoscopic images of an image scene. Stereo correspondence is calculated of image data of the plurality of stereoscopic images of the image scene, the calculation performed based at least in part on the user-defined region as indicating a smoothness in disparities to be calculated for pixels in the user-defined region.
摘要翻译： 描述了立体对应平滑度工具技术。 在一个或多个实现中，在图像场景的多个立体图像中的至少一个中接收到用户定义区域的指示。 计算图像场景的多个立体图像的图像数据的立体声对应，至少部分基于用户定义的区域进行的计算，以指示要在用户定义区域中针对像素计算的差异的平滑度。
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公开(公告)号：US20140169660A1
公开(公告)日：2014-06-19
申请号：US13720258
申请日：2012-12-19
发明人： Scott D. Cohen , Brian L. Price , Chenxi Zhang
IPC分类号： G06K9/62
CPC分类号： G06T5/50 , G06T5/002 , G06T2207/10012 , G06T2207/20104
摘要： Stereo correspondence smoothness tool techniques are described. In one or more implementations, an indication is received of a user-defined region in at least one of a plurality of stereoscopic images of an image scene. Stereo correspondence is calculated of image data of the plurality of stereoscopic images of the image scene, the calculation performed based at least in part on the user-defined region as indicating a smoothness in disparities to be calculated for pixels in the user-defined region.
摘要翻译： 描述了立体对应平滑度工具技术。 在一个或多个实现中，在图像场景的多个立体图像中的至少一个中接收到用户定义区域的指示。 计算图像场景的多个立体图像的图像数据的立体声对应，至少部分基于用户定义的区域进行的计算，以指示要在用户定义区域中针对像素计算的差异的平滑度。
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公开(公告)号：US20140168215A1
公开(公告)日：2014-06-19
申请号：US13720316
申请日：2012-12-19
发明人： Scott D. Cohen , Brian L. Price , Chenxi Zhang
IPC分类号： G06T17/00
CPC分类号： G06T7/593 , G06T17/00 , G06T17/10 , G06T2200/04
摘要： Stereo correspondence model fitting techniques are described. In one or more implementations, a model may be fit to a region in at least one of a plurality of stereoscopic images of an image scene. The model may then be used as part of a stereo correspondence calculation, which may include computing disparities for the region based at least in part on correspondence to the model.
摘要翻译： 描述了立体声对应模型拟合技术。 在一个或多个实现中，模型可以适合于图像场景的多个立体图像中的至少一个中的区域。 该模型然后可以用作立体声对应计算的一部分，其可以包括至少部分地基于与模型的对应关系来计算区域的差异。
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公开(公告)号：US09626584B2
公开(公告)日：2017-04-18
申请号：US14511001
申请日：2014-10-09
发明人： Zhe Lin , Radomir Mech , Xiaohui Shen , Brian L. Price , Jianming Zhang , Anant Gilra , Jen-Chan Jeff Chien
CPC分类号： G06T3/40 , G06K9/4671 , G06T3/0012 , G06T11/60 , G06T2210/22
摘要： Image cropping suggestion using multiple saliency maps is described. In one or more implementations, component scores, indicative of visual characteristics established for visually-pleasing croppings, are computed for candidate image croppings using multiple different saliency maps. The visual characteristics on which a candidate image cropping is scored may be indicative of its composition quality, an extent to which it preserves content appearing in the scene, and a simplicity of its boundary. Based on the component scores, the croppings may be ranked with regard to each of the visual characteristics. The rankings may be used to cluster the candidate croppings into groups of similar croppings, such that croppings in a group are different by less than a threshold amount and croppings in different groups are different by at least the threshold amount. Based on the clustering, croppings may then be chosen, e.g., to present them to a user for selection.
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公开(公告)号：US20160117798A1
公开(公告)日：2016-04-28
申请号：US14524489
申请日：2014-10-27
发明人： Zhe Lin , Radomir Mech , Xiaohui Shen , Brian L. Price , Jianming Zhang
IPC分类号： G06T3/40
CPC分类号： G06T3/40
摘要： Image zooming is described. In one or more implementations, zoomed croppings of an image are scored. The scores calculated for the zoomed croppings are indicative of a zoomed cropping's inclusion of content that is captured in the image. For example, the scores are indicative of a degree to which a zoomed cropping includes salient content of the image, a degree to which the salient content included in the zoomed cropping is centered in the image, and a degree to which the zoomed cropping preserves specified regions-to-keep and excludes specified regions-to-remove. Based on the scores, at least one zoomed cropping may be chosen to effectuate a zooming of the image. Accordingly, the image may be zoomed according to the zoomed cropping such that an amount the image is zoomed corresponds to a scale of the zoomed cropping.
摘要翻译： 描述图像缩放。 在一个或多个实现中，对图像进行缩放裁剪。 针对放大的裁剪计算的分数表示缩放的裁剪包含在图像中捕获的内容。 例如，分数表示缩放裁剪包括图像的显着内容的程度，包括在缩放裁剪中的显着内容在图像中的程度以及缩放裁剪保留指定的程度 区域 - 要保留并排除指定的要移除的区域。 基于分数，可以选择至少一个缩放的裁剪来实现图像的缩放。 因此，可以根据缩放的裁剪来缩放图像，使得图像被缩放的量对应于缩放裁剪的比例。
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公开(公告)号：US09214026B2
公开(公告)日：2015-12-15
申请号：US13722825
申请日：2012-12-20
发明人： Brian L. Price , Scott D. Cohen , Chenxi Zhang
CPC分类号： G06T7/0075 , G06T7/11 , G06T7/143 , G06T7/593 , G06T2207/10012 , G06T2207/20076
摘要： Belief propagation and affinity measure techniques are described. In one or more implementations, beliefs may be formed to solve a labeling problem for a node, such as to perform image processing. An affinity measure may be calculated that describes how similar the node is to another node. This affinity measure may then be used as a basis to determine whether the share the belief formed for the node with the other node to solve a labeling problem for the other node.
摘要翻译： 描述信仰传播和亲和力测量技术。 在一个或多个实现中，可以形成信念来解决节点的标签问题，例如执行图像处理。 可以计算亲和力度量，描述节点与另一个节点的相似度。 然后，该亲和测度可以用作基础，以确定共享对于具有另一个节点的节点形成的信念是否解决另一个节点的标签问题。
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公开(公告)号：US20150206315A1
公开(公告)日：2015-07-23
申请号：US14159658
申请日：2014-01-21
发明人： Brian L. Price , Scott Cohen , Jimei Yang
IPC分类号： G06T7/00
CPC分类号： G06T7/0081 , G06T7/11 , G06T7/143 , G06T7/162 , G06T2207/10024 , G06T2207/20016 , G06T2207/20081
摘要： Disclosed are various embodiments labeling objects using multi-scale partitioning, rare class expansion, and/or spatial context techniques. An input image may be partitioned using different scale values to produce a different set of superpixels for each of the different scale values. Potential object labels for superpixels in each different set of superpixels of the input image may be assessed by comparing descriptors of the superpixels in each different set of superpixels of the input image with descriptors of reference superpixels in labeled reference images. An object label may then be assigned for a pixel of the input image based at least in part on the assessing of the potential object labels.
摘要翻译： 公开了使用多尺度分割，稀有类扩展和/或空间上下文技术标记对象的各种实施例。 可以使用不同的比例值对输入图像进行分区，以针对不同比例值中的每一者产生不同的超像素组。 可以通过将输入图像的每个不同的超像素集合中的超像素的描述符与标记的参考图像中的参考超像素的描述符进行比较来评估输入图像的每个不同的超像素集合中的超像素的潜在对象标签。 至少部分地基于对潜在对象标签的评估，可以为输入图像的像素分配对象标签。
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公开(公告)号：US20140313187A1
公开(公告)日：2014-10-23
申请号：US13866632
申请日：2013-04-19
IPC分类号： G06T15/00
CPC分类号： H04N13/111
摘要： Stereoscopic target region filling techniques are described. Techniques are described in which stereo consistency is promoted between target regions, such as by sharing information during computation. Techniques are also described in which target regions of respective disparity maps are completed to promote consistency between the disparity maps. This estimated disparity may then be used as a guide to completion of a missing texture in the target region. Techniques are further described in which cross-image searching and matching is employed by leveraging a plurality of images. This may including giving preference to matches with cross-image consistency to promote consistency, thereby enforcing stereo consistency between stereo images when applicable.
摘要翻译： 描述了立体目标区填充技术。 描述了在目标区域之间促进立体一致性的技术，例如通过在计算期间共享信息。 还描述了其中完成各个视差图的目标区域以促进视差图之间的一致性的技术。 然后可以将该估计的差异用作在目标区域中完成缺失纹理的指导。 进一步描述了通过利用多个图像来采用跨图像搜索和匹配的技术。 这可能包括优先考虑与跨图像一致性的匹配以促进一致性，从而在适用时实现立体图像之间的立体一致性。
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