3D Box orientation Regression problem

[weisili2016]

hi, in your code , global object orientation is regressed by CNN , from only the contents of the 2D bboxs result, but , I found that the author of the paper[https://arxiv.org/abs/1612.00496] suggested that ,local orientation is regressed, not the global object orientation. Did I get it wrong?

[smallcorgi]

Hi @weisili2016 , The CNN will predict the local object orientation, not the global object orientation.

So in testing phase, θlocal will add with θray. https://github.com/smallcorgi/3D-Deepbox/blob/c409d46648afc241930972bae5f1a2c700816862/main.py#L252

[weisili2016]

@smallcorgi data_processing.py line 14. def compute_anchors(angle): ....

so, in training phase ,the input angle is the local object orientation?

[smallcorgi]

@weisili2016 Yes.