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作 者:董秋雷[1,2] 胡立华 胡占义[1,2] Dong Qiulei;Hu Lihua;Hu Zhanyi(National Laboratory of Pattern Recognition,Institute of Automation,Chinese Academy of Sciences,Beiying;School of Artificial Intelligence,University of Chinese Academy of Sciences,Beiying 100049;School of Computer Science & Technology,Taiyuan University of Science & Technology,Taiyuan 030024)
机构地区:[1]中国科学院自动化研究所模式识别国家重点实验室,北京100190 [2]中国科学院大学人工智能技术学院,北京100049 [3]太原科技大学计算机科学与技术学院,太原030024
出 处:《计算机辅助设计与图形学学报》2018年第9期1598-1603,共6页Journal of Computer-Aided Design & Computer Graphics
基 金:国家重点研发计划(2016YFB0502002);国家自然科学基金(61375042;61573359;61402316;61772444);太原科技大学校博士启动基金(20162009)
摘 要:为了避免可见光的干扰或适应夜间工作环境,人们往往将红外滤光片装在普通相机前进行红外目标的捕捉.近年来,这种加红外滤波片的"组合红外相机"在空间视觉领域得到了广泛的应用.然而,空间视觉需要建立严格的"组合红外相机的成像模型",目前还没有文献对该问题予以关注.针对这一问题,首先从理论层面分析这种组合红外相机的成像模型是否符合针孔模型,进而通过实验分析了相机光心到空间直线的距离、滤光片厚度、空间直线与成像直线的夹角、滤光片折射率4个方面因素对其成像模型的影响.理论分析与实验结果均表明,这种组合红外相机,即使原相机的成像模型为理想的针孔模型,其成像模型理论上已不再为针孔模型.当这种组合红外相机用作相机或物体定位等空间视觉问题时,因为这些应用需要依据严格的相机成像模型,所以这种成像模型的"非针孔性"更应该得到注意,以避免由此导致的系统性误差.文中结论可望为相关研究和应用人员提供一些参考.An infrared filter is often mounted in front of a camera either to capture objects at night or to reduce the light interference. In recent years, such a combined camera with an infrared filter has been extensively used in many spatial vision applications. However, a rigorous imaging model of such a combined camera is necessary for spatial vision, and this imaging model does not raise the due awareness for ether researchers or practitioners in the field. Addressing this problem, we firstly analyze whether the imaging model of this combined camera is of the pinhole one in theory, and then we analyze the influences of four factors on the imaging model in experiments, including the distance from the camera optical center to an arbitrary spatial line, the thickness of the infrared filter, the intersection angle between the arbitrary line and its corresponding imaging line, the refractivity of the infrared filter. Both our theoretical analysis and experimental results demonstrate that, the imaging model of such a com- bined camera is no longer of the pinhole one even if the imaging model of the original camera is of the ideal pin- hole. We note also that for the spatial vision applications, special attention should be paid to this "non-pinhole- hess" in order to avoid unnecessary systematical position errors, because for such applications, selection of cam-era's appropriate imaging model is crucial to determine the relationship between object and camera. Our result could be of reference to those people working on such combined cameras.
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]
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