DC Field | Value | Language |
---|---|---|
dc.contributor.author | Bok, Yunsu | ko |
dc.contributor.author | Kweon, In-So | ko |
dc.contributor.author | Jeon, Hae-Gon | ko |
dc.date.accessioned | 2017-01-13T08:06:33Z | - |
dc.date.available | 2017-01-13T08:06:33Z | - |
dc.date.created | 2014-11-25 | - |
dc.date.created | 2014-11-25 | - |
dc.date.created | 2014-11-25 | - |
dc.date.issued | 2014-09-11 | - |
dc.identifier.citation | European Conference on Computer Vision (ECCV2014) | - |
dc.identifier.uri | http://hdl.handle.net/10203/219154 | - |
dc.description.abstract | We present a novel method of geometric calibration of micro-lens-based light-field cameras. Accurate geometric calibration is a basis of various applications. Instead of using sub-aperture images, we utilize raw images directly for calibration. We select proper regions in raw images and extract line features from micro-lens images in those regions. For the whole process, we formulate a new projection model of micro-lens-based light-field cameras. It is transformed into a linear form using line features. We compute an initial solution of both intrinsic and extrinsic parameters by a linear computation, and refine it via a non-linear optimization. Experimental results show the accuracy of the correspondences between rays and pixels in raw images, estimated by the proposed method. | - |
dc.language | English | - |
dc.publisher | European Conference on Computer Vision Committee | - |
dc.title | Geometric Calibration of Micro-Lens-Based Light-Field Cameras using Line Features | - |
dc.type | Conference | - |
dc.identifier.wosid | 000345300000004 | - |
dc.identifier.scopusid | 2-s2.0-84906335984 | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | European Conference on Computer Vision (ECCV2014) | - |
dc.identifier.conferencecountry | SZ | - |
dc.identifier.conferencelocation | Kongresshaus Zurich | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.contributor.localauthor | Kweon, In-So | - |
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