{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,28]],"date-time":"2024-08-28T05:47:32Z","timestamp":1724824052229},"reference-count":14,"publisher":"World Scientific Pub Co Pte Lt","issue":"06","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2010,9]]},"abstract":"<jats:p> In this paper, we present a novel approach to imaging a panoramic (360\u00b0) environment and computing its dense depth map. Our approach adopts a multi-baseline stereo strategy using a set of multi-perspective panoramas where large baseline lengths are available. We design two image acquisition rigs for capturing such multi-perspective panoramas. The first one is composed of two parallel stereo cameras. By rotating the rig about a vertical axis, we generate four multi-perspective panoramas by resampling the regular perspective images captured by the stereo cameras. Then a depth map is estimated from the four multi-perspective panoramas and an original perspective image using a multi-baseline matching technique with different types of epipolar constraints. The second one is composed of a single camera and two mirrors. By rotating the rig, we acquire a spatio-temporal volume that is made up of the sequential images captured by the camera. Then we estimate a depth map by extracting trajectories from the spatio-temporal volume by using a multi-baseline stereo technique by considering occlusions. We can consider both rotating rigs as a single rotating camera with a very large field of view (FOV), that offers a large baseline length in depth estimation. In addition, compared with a previous approach using two multi-perspective panoramas from a single rotating camera, our approach can reduce matching errors due to image noise, repeated patterns, and occlusions by multi-baseline stereo techniques. Experimental results using both synthetic and real images show that our approach produces high quality panoramic 3D reconstruction. <\/jats:p>","DOI":"10.1142\/s0218001410008226","type":"journal-article","created":{"date-parts":[[2010,9,22]],"date-time":"2010-09-22T05:19:04Z","timestamp":1285132744000},"page":"867-896","source":"Crossref","is-referenced-by-count":3,"title":["PANORAMIC 3D RECONSTRUCTION USING STEREO MULTI-PERSPECTIVE PANORAMA"],"prefix":"10.1142","volume":"24","author":[{"given":"WEI","family":"JIANG","sequence":"first","affiliation":[{"name":"State Key Lab. of Industrial Control Technology, Zhejiang University, Hongzhou, Zhejiang 310027, P. R. China"}]},{"given":"SHIGEKI","family":"SUGIMOTO","sequence":"additional","affiliation":[{"name":"Graduate School of Science and Engineering, Tokyo Institute of Technology, 2-12-1-S5-22 O-okayama, Meguro-ku, Tokyo, 152-8550, Japan"}]},{"given":"MASATOSHI","family":"OKUTOMI","sequence":"additional","affiliation":[{"name":"Graduate School of Science and Engineering, Tokyo Institute of Technology, 2-12-1-S5-22 O-okayama, Meguro-ku, Tokyo, 152-8550, Japan"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf2","first-page":"1","volume":"35","author":"Baker S.","journal-title":"Int. J. Comput. 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Intell."},{"key":"rf12","author":"Morita H.","journal-title":"IEEE Intelligent Robots and Systems"},{"key":"rf15","doi-asserted-by":"publisher","DOI":"10.1109\/34.206955"},{"key":"rf16","doi-asserted-by":"publisher","DOI":"10.1023\/A:1014510328154"},{"key":"rf17","doi-asserted-by":"publisher","DOI":"10.1023\/A:1014541807682"},{"key":"rf19","doi-asserted-by":"publisher","DOI":"10.1109\/34.910880"},{"key":"rf21","doi-asserted-by":"publisher","DOI":"10.1023\/A:1014851111084"},{"key":"rf23","doi-asserted-by":"publisher","DOI":"10.1109\/70.285581"},{"key":"rf24","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2003.1201823"}],"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218001410008226","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T22:18:07Z","timestamp":1565129887000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218001410008226"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,9]]},"references-count":14,"journal-issue":{"issue":"06","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[2010,9]]}},"alternative-id":["10.1142\/S0218001410008226"],"URL":"https:\/\/doi.org\/10.1142\/s0218001410008226","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"value":"0218-0014","type":"print"},{"value":"1793-6381","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010,9]]}}}