@inproceedings{oai:ipsj.ixsq.nii.ac.jp:00151077,
 author = {宮本, 翔 and 藤本, 光一 and 松尾, 直志 and 島田, 伸敬 and 白井, 良明 and Miyamoto, S. and Fujimoto, K. and Matsuo, T. and Shimada, N. and Shirai, Y.},
 book = {情報科学技術フォーラム講演論文集},
 issue = {3},
 month = {Sep},
 note = {We propose a method for estimating 3-D hand postures from 2-D images in real-time. The estimation is based on finding the best matched posture from typical postures whose appearances are learned in advance. For high accuracy, conventional methods require high computational cost for comparing an input with many typical postures. In our method, a tree is automatically generated and trained with typical postures and their variations. Efficient search with the tree brings about real-time estimation. We show the effectiveness of our method by some experimental results.},
 pages = {649--654},
 publisher = {情報処理学会},
 title = {J-049 見えの変形を学習させた分類木に基づく高精度実時間三次元手指姿勢推定(HIP(3),J分野:ヒューマンコミュニケーション&インタラクション)},
 volume = {10},
 year = {2011}
}