Zi Jian Yew

> Ok,thanks.If I want to use this algorithm for unlabeled datasets, how can I obtain labels for ground truth? Do you have any good suggestions? Looking forward to your reply....

Lidar Point clouds like those from KITTI should be fine. After the paper publication, I did try it briefly on KITTI point cloud matching and a KITTI-trained model worked well....

If you have the rotation and translation matrices of your dataset you should be able train RegTR on your dataset. As mentioned, the algorithm should work on lidar point clouds...

Not 100% sure, but I suspect the coordinates of the points are w.r.t. to the camera, i.e. origin is where the camera is. Possibly you can consult the paper on...

For visualizing cloud clouds, look at my demo code (VTK based). Or you can use the visualization functions provided in open3d. On Fri, 5 May 2023 at 4:17 PM, lcxiha...

Sorry I don’t quite understand. If you already have the transformation matrix between the point clouds, aren’t they already aligned? Zi Jian On Tue, 9 May 2023 at 5:23 PM,...

The transformation matrices are used for evaluation. Zi Jian On Mon, 15 May 2023 at 9:50 AM, lcxiha ***@***.***> wrote: > I'm sorry, I want to verify if the dataset...

Sure, will look for it and post it here by the end of the week. On Thu, 6 Jul 2023 at 3:17 AM, Aniket Gupta ***@***.***> wrote: > @yewzijian Can...

Hi @aniket-gupta1 , see the following for my Kitti parameters. I didn't really spend much time tuning these parameters though so you might be able to find better ones. [kitti.yaml.zip](https://github.com/yewzijian/RegTR/files/11994836/kitti.yaml.zip)

Hi, if you can run it on the provided point clouds successfully, I suspect (although not sure) that it's due to domain difference between the training data and your dataset....