Color map optimization for 3D reconstruction with consumer depth cameras
Color map optimization for 3D reconstruction with consumer depth cameras
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DOI：
10.1145/2601097.2601134
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发表时间：
2014-07
期刊：
影响因子：
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通讯作者：
Qian-Yi Zhou;V. Koltun
中科院分区：
文献类型：
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作者：
Qian-Yi Zhou;V. Koltun
我们提出了一个全局优化的方法，将彩色图像映射到几何重建。消费级RGB-D相机产生的范围和彩色视频会受到噪声和光学失真的影响，这会阻碍将采集的彩色数据准确映射到重建的几何形状。我们的方法通过优化相机姿态并结合所有图像的非刚性校正函数来解决这些误差来源。所有参数联合优化，以最大限度地提高重建映射的光度一致性。我们表明，这种优化可以有效地进行交替优化算法，交错的分析更新的颜色映射与解耦参数更新的所有图像。实验结果表明，我们的方法大大提高了色彩映射保真度。
We present a global optimization approach for mapping color images onto geometric reconstructions. Range and color videos produced by consumer-grade RGB-D cameras suffer from noise and optical distortions, which impede accurate mapping of the acquired color data to the reconstructed geometry. Our approach addresses these sources of error by optimizing camera poses in tandem with non-rigid correction functions for all images. All parameters are optimized jointly to maximize the photometric consistency of the reconstructed mapping. We show that this optimization can be performed efficiently by an alternating optimization algorithm that interleaves analytical updates of the color map with decoupled parameter updates for all images. Experimental results demonstrate that our approach substantially improves color mapping fidelity.