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Feature Detection by Color Tensor-based Photometric Invariants

机译:基于颜色张量的光度不变量的特征检测

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Although the majority of images are recorded in color format nowadays, computer vision research is still mostly restricted to luminance-based feature detection.In this paper, we combine the features based on the color tensor with photometric invariant derivatives to arrive at photometric invariant features.The combination of the photometric invariance theory and tensor based features allows for detection of a variety of features such as photometric invariant edges, corners.Experiments show that the proposed features are robust to scene incidental events and perform well in real-world scene.
机译:尽管当今大多数图像是以彩色格式记录的,但计算机视觉研究仍主要局限于基于亮度的特征检测。本文将基于色张量的特征与光度不变导数结合起来,得出光度不变特征。光度不变性理论与基于张量的特征相结合,可以检测各种特征,例如光度不变性边缘,拐角。

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