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IEEE

Unsupervised Domain Adaptation on Point Clouds via High-Order Geometric Structure Modeling

Abstract: Point clouds can capture the precise geometric information of objects and scenes, which are an important source of 3-D data and one of the most popular 3-D geometric data structures for ...
IEEE

DSANet: Dynamic and Structure-Aware GCN for Sparse and Incomplete Point Cloud Learning

Abstract: Learning 3-D structures from incomplete point clouds with extreme sparsity and random distributions is a challenge since it is difficult to infer topological connectivity and structural ...
GitHub

Using Image GPS Information for Absolute Scale Point Clouds

If I already know the GPS information (latitude, longitude, and altitude) for each input image, is it possible to directly use this information in COLMAP during reconstruction so that the resulting ...
GitHub

Bad black point clouds when running demo_colmap.py

I run demo_colmap.py to output colmap format point clouds, and found some unexpected black points. I found that in demo_colmap.py, images are zero-padded to square resolution, thus some image rows or ...