Oct. 24, 2022, 1:16 a.m. | Jheng-Wei Su, Chi-Han Peng, Peter Wonka, Hung-Kuo Chu

cs.CV updates on arXiv.org arxiv.org

Reconstructing 3D layouts from multiple $360^{\circ}$ panoramas has received
increasing attention recently as estimating a complete layout of a large-scale
and complex room from a single panorama is very difficult. The state-of-the-art
method, called PSMNet, introduces the first learning-based framework that
jointly estimates the room layout and registration given a pair of panoramas.
However, PSMNet relies on an approximate (i.e., "noisy") registration as input.
Obtaining this input requires a solution for wide baseline registration which
is a challenging problem. In …

arxiv geometry network panorama registration

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