Incorporating color distribution and spatial layout, this paper proposes a sequential Monte Carlo filter tracking face algorithm using color and spatial information in HSV color space.
结合图像的色彩分布和空间布局，提出了一种基于HSV色彩和空间信息的序列蒙特卡罗滤波人脸跟踪算法。
It considered the spatial information of images (which was often neglected), and segmented an image following two steps: color quantization and spatial segmentation.
该方法充分考虑到图像的空间信息，对图像的分割采用两个步骤：颜色量化和图像空间分割。
Color information and local spatial features are combined in the HSV color space in order to obtain principal components by principal component analysis neural networks.
在HSV彩色空间将颜色信息和局部空间特征相结合，利用主元神经网络提取主成分；
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