Multiview Stereo with Cascaded Epipolar RAFT

نویسندگان

چکیده

AbstractWe address multiview stereo (MVS), an important 3D vision task that reconstructs a model such as dense point cloud from multiple calibrated images. We propose CER-MVS (Cascaded Epipolar RAFT Multiview Stereo), new approach based on the (Recurrent All-Pairs Field Transforms) architecture developed for optical flow. introduces five changes to RAFT: epipolar cost volumes, volume cascading, fusion of dynamic supervision, and multiresolution depth maps. is significantly different prior work in stereo. Unlike work, which operates by updating volume, disparity field. Furthermore, we adaptive thresholding method balance completeness accuracy reconstructed clouds. Experiments show our achieves state-of-the-art performance DTU Tanks-and-Temples benchmarks (both intermediate advanced set). Code available at https://github.com/princeton-vl/CER-MVS.KeywordMultiview

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ژورنال

عنوان ژورنال: Lecture Notes in Computer Science

سال: 2022

ISSN: ['1611-3349', '0302-9743']

DOI: https://doi.org/10.1007/978-3-031-19821-2_42