[Registration] How to recover depth maps from predicted dispairty & RGB image warping loss
Left image만 input으로 하여, left, right disparity를 예측하고, 예측된 두 disparity로부터 camera focal length와 두 카메라 간의 baseline distance로 계산하여 depth map을 복원할 수 있습니다.
Recent posts
[Registration] Depth hypothesis, Disparity hypothesis, Cost Volume
Cost volume의 channel 수는 disparity hypothesis의 수와 관련이 있습니다.
[Registration] Probability volume, depth map inference, per-pixel depth estimation, estimation confidence, depth hypotheses
Probability volume, depth map inference, per-pixel depth estimation, estimation confidence
[Registration] Large-scale scene reconstruction’s challenge
transient objects, highly unlikely to be collected in a single caputre under consistent conditions, variance in both scene geometry and appearance
[Registration] 3D reconstruction process
3D reconstruction pipeline: Extract 2D features, matche features across different images, jointly optimize a set of 3D points and camera poses to be consiste...