{"doi":"10.1145/1030397.1030434","citation":{"ama":"Ulges A, Lampert C, Breuel T. Document capture using stereo vision. In: ACM; 2004:198-200. doi:<a href=\"https://doi.org/10.1145/1030397.1030434\">10.1145/1030397.1030434</a>","short":"A. Ulges, C. Lampert, T. Breuel, in:, ACM, 2004, pp. 198–200.","ista":"Ulges A, Lampert C, Breuel T. 2004. Document capture using stereo vision. DocEng: ACM Symposium on Document Engineering, 198–200.","apa":"Ulges, A., Lampert, C., &#38; Breuel, T. (2004). Document capture using stereo vision (pp. 198–200). Presented at the DocEng: ACM Symposium on Document Engineering, ACM. <a href=\"https://doi.org/10.1145/1030397.1030434\">https://doi.org/10.1145/1030397.1030434</a>","mla":"Ulges, Adrian, et al. <i>Document Capture Using Stereo Vision</i>. ACM, 2004, pp. 198–200, doi:<a href=\"https://doi.org/10.1145/1030397.1030434\">10.1145/1030397.1030434</a>.","ieee":"A. Ulges, C. Lampert, and T. Breuel, “Document capture using stereo vision,” presented at the DocEng: ACM Symposium on Document Engineering, 2004, pp. 198–200.","chicago":"Ulges, Adrian, Christoph Lampert, and Thomas Breuel. “Document Capture Using Stereo Vision,” 198–200. ACM, 2004. <a href=\"https://doi.org/10.1145/1030397.1030434\">https://doi.org/10.1145/1030397.1030434</a>."},"publist_id":"2679","author":[{"first_name":"Adrian","last_name":"Ulges","full_name":"Ulges, Adrian"},{"full_name":"Christoph Lampert","last_name":"Lampert","first_name":"Christoph","id":"40C20FD2-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8622-7887"},{"first_name":"Thomas","full_name":"Breuel,Thomas M","last_name":"Breuel"}],"page":"198 - 200","date_updated":"2021-01-12T07:48:58Z","quality_controlled":0,"conference":{"name":"DocEng: ACM Symposium on Document Engineering"},"main_file_link":[{"url":"http://pub.ist.ac.at/~chl/papers/ulges-doceng2004.pdf","open_access":"0"}],"abstract":[{"lang":"eng","text":"Capturing images of documents using handheld digital cameras has a variety of applications in academia, research, knowledge management, retail, and office settings. The ultimate goal of such systems is to achieve image quality comparable to that currently achieved with flatbed scanners even for curved, warped, or curled pages. This can be achieved by high-accuracy 3D modeling of the page surface, followed by a &quot;flattening&quot; of the surface. A number of previous systems have either assumed only perspective distortions, or used techniques like structured lighting, shading, or side-imaging for obtaining 3D shape. This paper describes a system for handheld camera-based document capture using general purpose stereo vision methods followed by a new document dewarping technique. Examples of shape modeling and dewarping of book images is shown."}],"_id":"3688","day":"01","type":"conference","year":"2004","publisher":"ACM","month":"01","date_published":"2004-01-01T00:00:00Z","date_created":"2018-12-11T12:04:38Z","status":"public","publication_status":"published","title":"Document capture using stereo vision","extern":1}