[ Iran iM, Anandan P, Berg en J, et a.l Effic ient representa tions of v ideo sequences and the ir app lications[ J]. Signa l Processing: Im age Communication, 1996 ( 8) : 327- 351.
Ruan Zongca,i L iang Dong,W u Fuchao, e t a.l A fast algorithm for autom ated pano ram ic mosaic ing [ J]. Journa l of Com puter Research & Deve lopm ent, 2001, 38( 5) : 536- 539. ( in Ch inese)
[4]
[ H su Chiouting, Cheng T zuhung, Beuker, et a.l Fea ture based v ideo mo sa ic [ C] / / Proceed ing s of Interna tiona l Conference on Im ag e Processing. C anada: Vancouver, BC, 2000( 2): 887- 890.
[5]
[ Venkatesw ar, Chellappa R. H ierarch ica l ste reo and m otion correspondence using featu re groupings[ J]. Internationa l Journa l o f Com puter V ision, 1995, 15: 245- 269.
[6]
[ Sze lisk iR. V ideo m osa ics for v irtua l env ironm ents[ J]. IEEE Compu terG raph ics and Applications, 1996, 16( 2) : 22- 30.
[7]
[ Y ihong G, Gu ido P, Dav id L. A robust im agem osa icing techn ique capable of creating integrated panoram as[ C] / / Proceed ing s o f IEEE Internationa l Con ference on Inform ation V isua lization. CA, USA: Los A lam itos, 1999: 24- 29.
[8]
[ 郑南宁. 计算机视觉与模式识别[M ]. 北京: 国防工业出版社, 1998.
[9]
Zheng Nann ing. ComputerV ision and Pattern Recogn ization[M ]. Be ijing: TheN ationalDe fence Industry Press, 1998. ( in Ch-i nese)