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ID 19957
Eprint ID
19957
フルテキストURL
著者
金谷 健一 Department of Computer Science Okayama University
Niitsuma Hirotaka Department of Computer Science Okayama University
Sugaya Yasuyuki Department of Information and Computer Sciences Toyohashi University of Technology
抄録
We present an alternative approach to what we call the “standard optimization”, which minimizes a cost function by searching a parameter space. Instead, the input is “orthogonally projected” in the joint input space onto the manifold defined by the “consistency constraint”, which demands that any minimal subset of observations produce the same result. This approach avoids many difficulties encountered in the standard optimization. As typical examples, we apply it to line fitting and multiview triangulation. The latter produces a new algorithm far more efficient than existing methods. We also discuss optimality of our approach.
発行日
2010-01
出版物タイトル
Memoirs of the Faculty of Engineering, Okayama University
出版物タイトル(別表記)
岡山大学工学部紀要
44巻
出版者
Faculty of Engineering, Okayama University
出版者(別表記)
岡山大学工学部
開始ページ
32
終了ページ
41
ISSN
1349-6115
NCID
AA12014085
資料タイプ
紀要論文
言語
English
論文のバージョン
publisher
査読
無し
Eprints Journal Name
mfe