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Perceptual bias level estimation for hand-drawn sketches in sketch-photo matching

机译:草图照片匹配中手绘草图的感知偏差水平估计

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.
机译:本发明涉及从视频或照片中检索对象,其中该对象与手绘草图相匹配,该发明公开了一种用于自动估计关于草图特征的感知偏差水平的方法。该方法允许仅基于草图进行估算,而无需涉及额外的数据库。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。通过形成具有统计分布信息的目标函数来分析统计分布,该目标函数的参数由感知偏差级别参数化,然后根据一组迭代更新规则使目标函数最大化。在另一实施例中,用于自动估计感知偏差水平的方法被合并到一种用于从图像或视频数据库中检索一个或多个对象的方法中,其中一个或多个对象与手绘草图匹配。

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