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Motion-Stereo Integration for Depth Estimation

机译:运动立体声集成深度估计

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Depth extraction with a mobile stereo system is described. The stereo setup is precalibrated, but the system extracts its own motion. Emphasis lies on the integration of the motion and stereo cues. It is guided by the relative confidence that the system has in these cues. This weighing is fine-grained in that it is determined for every pixel at every iteration. Reliable information spreads fast at the expense of less reliable data, both in terms of spatial communication and in terms of exchange between cues. The resulting system can handle large displacements, depth discontinuities and occulsions. Experimental results corroborate the viability of the approach.
机译:描述了使用移动立体声系统的深度提取。立体声设置是预校准的,但系统提取其自身运动。重点是运动和立体声线索的整合。它是由系统在这些线索中的相对信心引导的。这种称重是细粒的,因为它是针对每次迭代时的每个像素确定的。可靠的信息在空间通信和提示之间的交换方面,以牺牲不太可靠的数据耗费不太可靠的数据。得到的系统可以处理大的位移,深度不连续性和冲突。实验结果证实了这种方法的活力。

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