3DSfMFaceReconstruction
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image sequences
How to input multi-view images when infering? It looks like we can only input a single view image to get a disparity map in the inference.py
Yes, I have the same question. Even when a directory containing an image sequence is fed into the program, it treats each image as a separate one. It would be nice to update the landmark positions accordingly. I am not sure that averaging would be best to do: say, the nose form is best revealed in the side view, so more weight should be given to the landmarks on the boundary of the face. I could not yet find how to obtain the estimated head rotation information from fitting. Maybe the author could help us here?
Did you slove this problem?
Hi, I have not been working on it. I find this project abandoned since the author provides no feedback and the current code just not working for me.