@inproceedings{oai:kyutech.repo.nii.ac.jp:00005342,
 author = {Ohyama, Yasuhiro and Tan, Joo kooi and タン, ジュークイ and Kim, Hyungseop and 金, 亨燮 and Ishikawa, Seiji and 石川, 聖二},
 book = {Proceedings of the IIEEJ Image Electronics and Visual Computing Workshop 2012},
 month = {Nov},
 note = {This paper proposes a 3-D recovery method of an environment containing buildings. The difficulties of buildings recovery include little texture regions and a large scale nature, resulting in the accumulation of recovery errors. The proposed method introduces the Manhattan-world constraint in the algorithm of structure from motion (SfM) which is employed for the shape recovery from a set of sparse feature points. Experimental results show that ths proposed method achieves higher accuracy in the recovery compared to ths existent methods based only on the SfM algorithm., The Image Electronics and Visual Computing Workshop 2012 (IEVC2012), November 21-24, 2012, Kuching, Malaysia},
 pages = {1--4},
 publisher = {画像電子学会},
 title = {Three-dimensional recovery of buildings environment under Manhattan-world constraint},
 volume = {1C-3},
 year = {2012},
 yomi = {イシカワ, セイジ}
}