problem about predicting object's real length
I used the model to predict cattle's world_points,depth_points,camera parameters ,and use selected points to caculate the length between points. The length has large deviation value with the real length. How can I improve it?
Hi,
Our model only predicts the geometry in a normalised space, i.e., do not provide metric based prediction.
Hi,
Our model only predicts the geometry in a normalised space, i.e., do not provide metric based prediction.
normalized regarding which scale?
Then, we compute the average Euclidean distance of all 3D points in the point map P to the origin and use this scale to normalize the camera translations t, the point map P, and the depth map D.