CN103500447B - 基于增量式高次布尔能量最小化的视频前后景分割方法 - Google Patents
基于增量式高次布尔能量最小化的视频前后景分割方法 Download PDFInfo
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CN103905813B (zh) * | 2014-04-15 | 2016-02-24 | 福州大学 | 基于背景提取与分区修复的dibr空洞填补方法 |
US9774793B2 (en) * | 2014-08-01 | 2017-09-26 | Adobe Systems Incorporated | Image segmentation for a live camera feed |
CN107580186B (zh) * | 2017-07-31 | 2020-07-07 | 北京理工大学 | 一种基于缝合线时空优化的双摄像机全景视频拼接方法 |
CN108614552B (zh) * | 2018-04-08 | 2021-01-12 | 浙江大承机器人科技有限公司 | 一种基于离散位姿的路径规划方法 |
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CN101311964A (zh) * | 2007-05-23 | 2008-11-26 | 三星电子株式会社 | 在监视系统中实时分割运动区域以检测运动的方法和装置 |
CN101777180A (zh) * | 2009-12-23 | 2010-07-14 | 中国科学院自动化研究所 | 基于背景建模和能量最小化的复杂背景实时替换方法 |
CN102074020A (zh) * | 2010-12-31 | 2011-05-25 | 浙江大学 | 对视频进行多体深度恢复和分割的方法 |
CN102354396A (zh) * | 2011-09-23 | 2012-02-15 | 清华大学深圳研究生院 | 基于水平集函数的灰度不均匀图像分割方法 |
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US6975742B2 (en) * | 2000-11-29 | 2005-12-13 | Xerox Corporation | Rate-distortion optimization system and method for image compression |
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CN101311964A (zh) * | 2007-05-23 | 2008-11-26 | 三星电子株式会社 | 在监视系统中实时分割运动区域以检测运动的方法和装置 |
CN101777180A (zh) * | 2009-12-23 | 2010-07-14 | 中国科学院自动化研究所 | 基于背景建模和能量最小化的复杂背景实时替换方法 |
CN102074020A (zh) * | 2010-12-31 | 2011-05-25 | 浙江大学 | 对视频进行多体深度恢复和分割的方法 |
CN102354396A (zh) * | 2011-09-23 | 2012-02-15 | 清华大学深圳研究生院 | 基于水平集函数的灰度不均匀图像分割方法 |
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