DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김해준 | - |
dc.date.accessioned | 2018-10-17T05:46:06Z | - |
dc.date.available | 2018-10-17T05:46:06Z | - |
dc.date.issued | 2017 | - |
dc.identifier.other | OAK-2015-07663 | - |
dc.identifier.uri | http://postech.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002328673 | ko_KR |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/93542 | - |
dc.description | Master | - |
dc.description.abstract | This thesis proposes a real-time non-rigid 3D human body reconstruction framework from depth images taken by a commercial color-depth camera. We take a consecutive color-depth image stream as the input and incrementally reconstruct a surface of the model in a 3D canonical TSDF volume space based on the estimated non-rigid warp field from the canonical space to the current input frame. Since the target domain is a human body, we exploit information of a skeletal structure for estimating the warp field of each bone in a hierarchical way and accelerate the computation time compared to previous works. Per-voxel non-rigid warpings are calculated via GPU parallel processing for real-time performance. | - |
dc.language | kor | - |
dc.publisher | 포항공과대학교 | - |
dc.title | Real-time Non-Rigid 3D Reconstruction System Specialized for Human Body Reconstruction | - |
dc.type | Thesis | - |
dc.contributor.college | 일반대학원 컴퓨터공학과 | - |
dc.date.degree | 2017- 2 | - |
dc.type.docType | Thesis | - |
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