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    • 3. 发明授权
    • Image descriptor quantization
    • 图像描述符量化
    • US08208731B2
    • 2012-06-26
    • US12098458
    • 2008-04-07
    • Simon Winder
    • Simon Winder
    • G06K9/46G06K9/00G06K9/60
    • G06K9/4671
    • Image descriptor quantization technique embodiments are presented which quantize an image descriptor defined by a vector of number elements. This is generally accomplished by lowering the number of bits per number element to a prescribed degree. The resulting quantized image descriptor exhibits minimal loss of matching reliability while at the same time reducing the amount of storage space needed to store the descriptor in a database. Lowering the number of bits per number element also allows for increased matching speed.
    • 提供了图像描述符量化技术实施例,其量化由数字元素的向量定义的图像描述符。 这通常通过将每个元件的位数减少到规定的程度来实现。 所产生的量化图像描述符表现出匹配可靠性的最小损失,同时减少将描述符存储在数据库中所需的存储空间量。 降低每个数字元素的位数也允许增加匹配速度。
    • 7. 发明申请
    • Object instance recognition using feature symbol triplets
    • 使用特征符号三元组的对象实例识别
    • US20070179921A1
    • 2007-08-02
    • US11342218
    • 2006-01-27
    • Charles ZitnickJie SunRichard SzeliskiSimon Winder
    • Charles ZitnickJie SunRichard SzeliskiSimon Winder
    • G06F15/18
    • G06K9/6211
    • A feature symbol triplets object instance recognizer and method for recognizing specific objects in a query image. Generally, the recognizer and method find repeatable features in the image, and match the repeatable features between a query image and a set of training images. More specifically, the recognizer and method finds features in the query image and then groups all possible combinations of three features in to feature triplets. Small regions or “patches” in the query image, and an affine transformation is applied to the patches to identify any similarity between patches in a query image and training images. The affine transformation is computed using position of neighboring features in each feature triplet. Next, all similar patches are found, and then pairs of images are aligned to determine if the patches agree in the position of the object. If they do, then it is said that object is found and identified.
    • 特征符号三元组对象实例识别器和方法,用于识别查询图像中的特定对象。 通常,识别器和方法在图像中找到可重复的特征,并且匹配查询图像和一组训练图像之间的可重复特征。 更具体地,识别器和方法在查询图像中发现特征,然后将三个特征的所有可能组合分组到特征三元组。 查询图像中的小区域或“补丁”,并且仿射变换被应用于补丁以识别查询图像中的修补程序和训练图像之间的任何相似性。 使用每个特征三元组中相邻特征的位置来计算仿射变换。 接下来,找到所有相似的补丁,然后对对成对的图像以确定补丁是否在对象的位置上一致。 如果他们这样做,那么就说发现和识别对象。