Computational depth-recovery of sparse images from non-repetitive LiDAR to enhance the accuracy of crowd-monitoring (IMAGE)

Doshisha University

Computational depth-recovery of sparse images from non-repetitive LiDAR to enhance the accuracy of crowd-monitoring

Caption

Sparse and irregular depth measurements from non-repetitive LiDAR (left) and the reconstructed dense depth map using the proposed RGB (red, green, blue)-guided completion framework (right).

Credit

Zixuan Zhang from Doshisha University, Japan

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