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Cubic spline smoothing of feature space trajectory for 3D object recognition

机译:用于3D目标识别的特征空间轨迹的三次样条平滑

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Abstract: We use the cubic spline interpolation instead of the linear interpolation of the feature space trajectories for 3-D object recognition from its 2-D perspective views. The accuracy of the interpolated trajectories to the testing views is greatly enhanced by this change. The experiments are on the real-world IR images of military vehicles. Edge-based approach is used to reduce the effect of the changes in infrared image intensity distribution due to temperature changes in some running parts of vehicles. !12
机译:摘要:我们使用三次样条插值法代替特征空间轨迹的线性插值法从其2D透视图进行3D对象识别。通过此更改,极大地提高了到测试视图的插值轨迹的准确性。实验是在军用车辆的真实红外图像上进行的。基于边缘的方法用于减少由于车辆某些行驶部件中的温度变化而引起的红外图像强度分布变化的影响。 !12

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