Current trends in video technology indicate a significant increase in spatial and temporal resolution of video data. Recently, a linear-runtime feature diffusion algorithm was presented which aims for fast and accurate processing of such high-resolution data. In this paper, we introduce this algorithm from the perspective of image-based depth estimation, expanding upon the algorithm by requiring interview consistency in the depth diffusion process. We also discuss different application scenarios and provide an in-depth analysis of the method in this context.
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