A head pose tracking system using RGB-D camera
Refereed conference paper presented and published in conference proceedings

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摘要In this paper, a fast head pose tracking system is introduced. It uses iterative closest point algorithm to register a dense face template to depth data captured by Kinect. It can achieve 33fps processing speed without specific optimization. To improve tracking robustness, head movement prediction is applied. We propose a novel scheme that can train several simple predictors together, enhancing the overall prediction accuracy. Experimental results confirm its effectiveness for head movement prediction. © 2013 Springer-Verlag.
著者Li S., Ngan K.N., Sheng L.
會議名稱9th International Conference on Computer Vision Systems, ICVS 2013
會議開始日16.07.2013
會議完結日18.07.2013
會議地點St. Petersburg
會議國家/地區俄羅斯聯邦
出版年份2013
月份8
日期13
卷號7963 LNCS
出版社Springer Verlag
出版地Germany
頁次153 - 162
國際標準書號9783642394010
國際標準期刊號0302-9743
語言英式英語
關鍵詞head movement prediction, head pose tracking, iterative closest point algorithm, K-means like retraining

上次更新時間 2021-10-09 於 23:41