Improving Face Detection with TOF Cameras

D.W. Hansen, R. Larsen, F. Lauze
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引用次数: 21

Abstract

A face detection method based on a boosted classifier using images from a time-of-flight sensor is presented. We show that the performance of face detection can be improved when using both depth and gray scale images and that the common use of integration of hypotheses for verification can be relaxed. Based on the detected face we employ an active contour method on depth images for full head segmentation.
改进TOF相机的人脸检测
提出了一种基于飞行时间传感器图像的增强分类器人脸检测方法。我们表明,当同时使用深度和灰度图像时,人脸检测的性能可以得到改善,并且可以放松通常使用假设集成进行验证。基于检测到的人脸,采用主动轮廓法对深度图像进行全头分割。
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