Face pose estimation with combined 2D and 3D HOG features

This paper describes an approach to location and orientation estimation of a person's face with color image and depth data from a Kinect sensor. The combined 2D and 3D histogram of oriented gradients (HOG) features, called RGBD-HOG features, are extracted and used throughout our approach. We pr...

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Bibliographische Detailangaben
Hauptverfasser: Jiaolong Yang, Wei Liang, Yunde Jia
Format: Tagungsbericht
Sprache:eng
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