Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction
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DOI: 10.1007/s11263-019-01217-w
Abstract: We study the problem of recovering an underlying 3D shape from a set of images. Existing learning based approaches usually resort to recurrent neural nets, e.g., GRU, or intuitive pooling operations, e.g., max/mean poolings, to… read more here.
Keywords: multi view; aggregation; view reconstruction; deep feature ... See more keywords
Refractive Two-View Reconstruction for Underwater 3D Vision
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-019-01218-9
Abstract: Recovering 3D geometry from cameras in underwater applications involves the Refractive Structure-from-Motion problem where the non-linear distortion of light induced by a change of medium density invalidates the single viewpoint assumption. The pinhole-plus-distortion camera projection… read more here.
Keywords: camera; camera model; two view; view reconstruction ... See more keywords