It is an extremely interesting work to understand the minority costumes in computer vision and ethnology community. It explored some crucial clue for understanding minority costumes via computer vision technology. As it known to all, complicated and subtle structure between different minority costumes lead it becomes hard work to recognize them with computer vision even people. An intelligent framework is proposed for understanding minority costumes from computer vision perspective in this paper. First, the images are converted into grayscale ones as the digital image processing pipeline; then, the grayscale images are segmented with the help of structured forests algorithm; after that, a new Revised Histogram of Oriented Gradient is proposed to compute the feature for each segmented gray minority costume image. At the last, the random forests method is used as the classifier for this minority costumes understanding intelligent system. For lack of acknowledged minority costume image data sets, we evaluated the performances of the proposed method on self-construct data set, and the experimental results are presented.

中文翻译：

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了解少数民族服饰：计算机视觉视角

了解计算机视觉和民族学社区中的少数民族服饰是一项非常有趣的工作。它探索了一些通过计算机视觉技术理解少数民族服饰的关键线索。众所周知，不同少数民族服饰之间复杂而微妙的结构导致计算机视觉识别它们甚至是人都变得非常困难。本文提出了一种从计算机视觉角度理解少数民族服饰的智能框架。首先，将图像转换为灰度图像作为数字图像处理流水线；然后，借助结构化森林算法对灰度图像进行分割；之后，提出了一种新的修正定向梯度直方图来计算每个分割的灰色少数民族服装图像的特征。最后，随机森林方法被用作这个少数民族服装理解智能系统的分类器。由于缺乏公认的少数民族服装图像数据集，我们在自建数据集上评估了所提出方法的性能，并给出了实验结果。