| All Weather Robot Vision | |
| Tian JD(田建东) | |
| 2022 | |
| 出版者 | Springer Nature Singapore Pte Ltd. |
| 出版地 | Berlin |
| 文献子类 | 专著 |
| 关键词 | Robot vision Reflectance recovery Shadow detection Shadow removal Highlight removal Intrinsic images Rain removal Snowflake removal Fog removal Underwater scattering Light field |
| 产权排序 | 1 |
| 英文摘要 | Complex illumination and meteorological conditions can significantly limit the robustness of robotic vision systems. This book focuses on image pre-processing for robot vision in complex illumination and dynamic weather conditions. It systematically covers cutting-edge models and algorithms, approaching them from a novel viewpoint based on studying the atmospheric physics and imaging mechanism. It provides valuable insights and practical methods such as illumination calculations, scattering modeling, shadow/highlight detection and removal, intrinsic image derivation, and rain/snow/fog removal technologies that will enable robots to be effective in diverse lighting and weather conditions, i.e., ensure their all-weather operating capacity. As such, the book offers a valuable resource for researchers, graduate students and engineers in the fields of robot engineering and computer science. |
| 页数 | 311p. |
| ISBN | 978-981-16-6428-1 |
| 语种 | 英语 |
| 内容类型 | 专著 |
| 源URL | [http://ir.sia.cn/handle/173321/30207]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 作者单位 | State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China |
| 推荐引用方式 GB/T 7714 | Tian JD. All Weather Robot Vision[M]. Berlin:Springer Nature Singapore Pte Ltd.,2022. |
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