Surface shape reconstruction of weld pool during pulsed GTAW from its single image
文献类型:期刊论文
作者 | Zhao, DB![]() ![]() ![]() ![]() |
刊名 | ROBOTIC WELDING, INTELLIGENCE AND AUTOMATION
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出版日期 | 2004 |
卷号 | 299页码:56-62 |
英文摘要 | This paper addresses an improved algorithm of shape from shading with a single real image, and its application on three-dimensional surface reconstruction. The improved algorithm consists of smoothing constraint, boundary height constraint, and weighted light error. For consideration of actual visual sensing systems, the feasibility of the algorithm is verified with a single synthetic image. Finally, the surface shape of weld pool during pulsed GTAW is reconstructed successfully from its real single image. |
WOS标题词 | Science & Technology ; Technology |
类目[WOS] | Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Information Systems ; Engineering, Manufacturing ; Robotics |
研究领域[WOS] | Automation & Control Systems ; Computer Science ; Engineering ; Robotics |
收录类别 | ISTP ; SCI |
语种 | 英语 |
WOS记录号 | WOS:000189484600004 |
公开日期 | 2015-12-24 |
源URL | [http://ir.ia.ac.cn/handle/173211/8918] ![]() |
专题 | 自动化研究所_09年以前成果 |
作者单位 | 1.Chinese Acad Sci, Lab Complex Syst, Inst Automat, Beijing 100080, Peoples R China 2.Shanghai Jiao Tong Univ, Inst Welding Technol, Shanghai 200030, Peoples R China 3.Harbin Inst Technol, Natl Key Lab Adv Welding Prod Technol, Harbin 150001, Peoples R China |
推荐引用方式 GB/T 7714 | Zhao, DB,Yi, JQ,Chen, SB,et al. Surface shape reconstruction of weld pool during pulsed GTAW from its single image[J]. ROBOTIC WELDING, INTELLIGENCE AND AUTOMATION,2004,299:56-62. |
APA | Zhao, DB.,Yi, JQ.,Chen, SB.,Wu, L.,Tarn, TJ.,...&Zhou, C.(2004).Surface shape reconstruction of weld pool during pulsed GTAW from its single image.ROBOTIC WELDING, INTELLIGENCE AND AUTOMATION,299,56-62. |
MLA | Zhao, DB,et al."Surface shape reconstruction of weld pool during pulsed GTAW from its single image".ROBOTIC WELDING, INTELLIGENCE AND AUTOMATION 299(2004):56-62. |
入库方式: OAI收割
来源:自动化研究所
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