Adaptive region aggregation for multi‐view stereo matching using deformable convolutional networks
Han Hu,
Liupeng Su,
Shunfu Mao
et al.
Abstract:Deep‐learning methods have demonstrated promising performance in multi‐view stereo (MVS) applications. However, it remains challenging to apply a geometrical prior on the adaptive matching windows to achieve efficient three‐dimensional reconstruction. To address this problem, this paper proposes a learnable adaptive region aggregation method based on deformable convolutional networks (DCNs), which is integrated into the feature extraction workflow for MVSNet method that uses coarse‐to‐fine structure. Following… Show more
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