摘要
红外场景模拟可为目标识别、跟踪提供必要的图像样本,对算法的训练、评估和可靠性检验具有十分重要的意义,基于建模的红外模拟方法不一定反映场景的客观情况,并且,计算量大、耗时,难于模拟出有真实感的红外图像。基于图像绘制技术,提出无需建模的基于图像的绘制方法来模拟红外场景图像,根据红外图像的特点,给出了计算基本矩阵的非线性迭代算法和基于特征约束的动态规划立体匹配算法。由于参考图集是实际图像,因此,模拟图像更符合景物的真实情况,并且,该方法无需很复杂的建模过程,利于实时模拟。实验结果表明,该方法可有效地模拟出真实感的红外图像。
Infrared scene simulation can provide the necessary sample images for target recognition and tracking, and has very important meaning for algorithm's training, evaluation and reliability test. Infrared simulation based on geometric modeling is difficult to provide the realistic simulation effect. Moreover, its computation is very large. The simulation method of infrared scene image with image based rendering (IBR) technique that is free of geometric modeling is proposed. According to the characteristic of infrared image, the nonlinear iteration algorithm for fundamental matrix computation and the dynamic programming stereo matching algorithm with feature constrains are proposed. The simulated images are more realistic because the reference images for simulation are real images. Furthermore, without intricate geometric modeling, the method can provide real time realization. The experiment result shows the method can produce realistic infrared images.
出处
《红外与激光工程》
EI
CSCD
北大核心
2005年第3期297-300,共4页
Infrared and Laser Engineering
关键词
红外场景模拟
图像绘制
基本矩阵
立体匹配
Algorithms
Computer simulation
Dynamic programming
Mathematical models
Matrix algebra
Radar target recognition
Tracking (position)
