Department of Electrical and Computer Engineering, University of Maryland College Park, MD, USA, 20742;
Department of Electrical and Computer Engineering, University of Maryland College Park, MD, USA, 20742;
Department of Electrical and Computer Engineering, University of Maryland College Park, MD, USA, 20742;
Atmospheric turbulence; plenoptic camera; imaging through turbulence; object recognition; reconstruction;
机译:稳健的顺序视图规划,可使用多台摄像机进行物体识别
机译:使用湍流闪烁来帮助从单个摄像头视点提供对象
机译:对象检测,识别和使用热敏摄像机从UAV跟踪
机译:通过用改进的增压器相机湍流识别
机译:从商业增压镜相机获得物体侧光场和度量深度映射的方法
机译:使用改进的视点特征直方图的机器人抓取系统的三维对象识别和配准
机译:通过增加灵活性和可扩展性的标准,从监控摄像机识别视频流中所需对象的过程的问题