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Naturally combined shape-color moment invariants under affine transformations

机译:仿射变换下自然组合的形状-颜色矩不变量

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摘要

We proposed a kind of naturally combined shape-color affine moment invariants (SCAMI), which consider both shape and color affine transformations simultaneously in one single system. In the real scene, color and shape deformations always exist in images simultaneously. Simple shape invariants or color invariants cannot be qualified for this situation. The conventional method is just to make a simple linear combination of the two factors. Meanwhile, the manual selection of weights is a complex issue. Our construction method is based on the multiple integration framework. The integral kernel is assigned as the continued product of the shape and color invariant cores. It is the first time to directly derive an invariant to dual affine transformations of shape and color. The manual selection of weights is no longer necessary, and both the shape and color transformations are extended to affine transformation group. With the various of invariant cores, a set of lower-order invariants are constructed and the completeness and independence are discussed detailed. A set of SCAMls, which called SCAMI24, are recommended, and the effectiveness and robustness have been evaluated on both synthetic and real datasets.
机译:我们提出了一种自然组合的形状-颜色仿射矩不变式(SCAMI),它在单个系统中同时考虑形状和颜色仿射变换。在真实场景中,颜色和形状变形总是同时存在于图像中。简单的形状不变式或颜色不变式不适用于这种情况。常规方法只是对两个因素进行简单的线性组合。同时,权重的手动选择是一个复杂的问题。我们的构建方法基于多重集成框架。积分核被指定为形状和颜色不变核的连续积。这是第一次直接导出形状和颜色的不变到偶仿射变换。不再需要手动选择权重,并且形状和颜色变换都扩展到了仿射变换组。利用各种不变核,构造了一组低阶不变式,并详细讨论了完整性和独立性。建议使用一组称为SCAMI24的SCAMls,并且已经在综合和真实数据集上评估了有效性和鲁棒性。

著录项

  • 来源
    《Computer vision and image understanding》 |2017年第9期|46-56|共11页
  • 作者单位

    Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China ,University of Chinese Academy of Sciences, Beijing, China ,AI & Research Group, Microsoft Search Technology Center Asia, Beijing, China;

    Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China ,University of Chinese Academy of Sciences, Beijing, China;

    Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China ,University of Chinese Academy of Sciences, Beijing, China;

    Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China ,University of Chinese Academy of Sciences, Beijing, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Invariants; Color; Shape; Descriptor; Dual-affine transformations;

    机译:不变量颜色;形状;描述符双仿射变换;

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