Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICIP.2005.1530062
Title: Head pose estimation by non-linear embedding and mapping
Authors: Hu, N.
Huang, W.
Ranganath, S. 
Issue Date: 2005
Source: Hu, N.,Huang, W.,Ranganath, S. (2005). Head pose estimation by non-linear embedding and mapping. Proceedings - International Conference on Image Processing, ICIP 2 : 342-345. ScholarBank@NUS Repository. https://doi.org/10.1109/ICIP.2005.1530062
Abstract: In this paper, we present a new scheme to robustly estimate the head pose from either video sequence or individual images. Developed from ISOMAP, we learn a person-independent and nonlinear embedding space (we call it a 2-D feature space) for different poses. A nonlinear interpolation is proposed to map new sequences or images into the 2-D feature space. Especially for video sequences, we propose an adaptive local fitting technique to filter unreasonable mappings. By exploring the intrinsic characteristics, we further estimate the head pose of that sequence or image. Experiments reported in this paper showed robust results. © 2005 IEEE.
Source Title: Proceedings - International Conference on Image Processing, ICIP
URI: http://scholarbank.nus.edu.sg/handle/10635/70458
ISBN: 0780391349
ISSN: 15224880
DOI: 10.1109/ICIP.2005.1530062
Appears in Collections:Staff Publications

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