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The YCgCr color space and geometric information-based method for human eye localization is a highly effective technique that has been used in various applications. This method involves the use of the YCgCr color space, which is a color model that is commonly used in digital image processing and video compression. It is based on the human visual system and is designed to improve the performance of color-based image processing algorithms, making it an excellent choice for this application.
The method also utilizes geometric information to improve accuracy and reduce errors. By combining geometric and color information, this technique is able to achieve high accuracy in human eye localization, which is critical for many applications, such as eye tracking and gaze estimation.
Overall, the YCgCr color space and geometric information-based method is a powerful tool that can be used to accurately locate human eyes in various applications. As technology continues to advance, this method is likely to become even more important in the field of computer vision and image processing.