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1. 发明授权

US09104942B2 Perceptual bias level estimation for hand-drawn sketches in sketch-photo matching 有权
标题翻译：素描照片匹配中手绘素描的感知偏差水平估计
公开(公告)号：US09104942B2
公开(公告)日：2015-08-11
申请号：US13719231
申请日：2012-12-19
申请人： Hong Kong Applied Science and Technology Research Institute Company Limited
发明人： Tai Pang Wu , Zhiqian Li , Kenneth Kwan Yee Wong
IPC分类号： G06K9/62 , G06K9/46 , G06K9/00
CPC分类号： G06K9/46 , G06K9/00268 , G06K9/00456 , G06K9/623
摘要： This invention, which relates to retrieving an object from a video or a photo where the object matches a hand-drawn sketch, discloses a method for automatically estimating a perceptual bias level with respect to a feature of the sketch. The method allows estimation based on the sketch alone without involving an extra database. In one embodiment, the method comprises using an expectation-maximization tensor voting (EMTV) method to analyze a statistical distribution of the feature. The statistical distribution is analyzed by forming an objective function having the statistical distribution's information parameterized by the perceptual bias level, and then maximizing the objective function according to a set of iterative update rules. In another embodiment, the method for automatically estimating a perceptual bias level is incorporated into a method for retrieving one or more objects from an image or video database where the one or more objects match a hand-drawn sketch.
摘要翻译：本发明涉及从对象与手绘草图相匹配的视频或照片中检索对象，公开了一种用于相对于草图的特征自动估计感知偏见水平的方法。该方法允许基于草图进行估计而不涉及额外的数据库。在一个实施例中，该方法包括使用期望最大化张量投票（EMTV）方法来分析特征的统计分布。通过形成具有通过感知偏差水平参数化的统计分布信息的目标函数，然后根据一组迭代更新规则来最大化目标函数来分析统计分布。在另一个实施例中，用于自动估计感知偏见水平的方法被合并到用于从一个或多个对象与手绘草图相匹配的图像或视频数据库中检索一个或多个对象的方法中。

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