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dc.contributor.authorLee, Jui-Shengen_US
dc.contributor.authorJian, Guo-Anen_US
dc.contributor.authorChien, Cheng-Anen_US
dc.contributor.authorChen, Peng-Shengen_US
dc.contributor.authorGuo, Jiun-Inen_US
dc.date.accessioned2014-12-08T15:29:20Z-
dc.date.available2014-12-08T15:29:20Z-
dc.date.issued2012en_US
dc.identifier.isbn978-1-4673-4405-0en_US
dc.identifier.urihttp://hdl.handle.net/11536/21121-
dc.description.abstractThis paper presents a low complexity 3D image depth map generation algorithm for embedded stereo applications. The proposed algorithm generates depth information based on a single view 2D image automatically. Owing to different scene characteristics of image, we propose a mechanism to classify images to "Scenery", "Normal" and "Close-up" types first and generate the associated depth map according to the proposed techniques. In addition, we propose a human detection method for strengthening the depth information in images with humans and post-processing for refining depth map. With good quality in the generated depth map, the proposed algorithm achieves about 93% in complexity reduction as compared to the traditional algorithm, which is suitable for realization in both the hardware and embedded systems for portable stereo applications.en_US
dc.language.isoen_USen_US
dc.subject3D imagesen_US
dc.subjectDepth mapen_US
dc.subjectStereo imagesen_US
dc.title3D DEPTH MAP GENERATION FOR EMBEDDED STEREO APPLICATIONSen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2012 IEEE VISUAL COMMUNICATIONS AND IMAGE PROCESSING (VCIP)en_US
dc.contributor.department電子工程學系及電子研究所zh_TW
dc.contributor.departmentDepartment of Electronics Engineering and Institute of Electronicsen_US
dc.identifier.wosnumberWOS:000315440800006-
Appears in Collections:Conferences Paper