2 code implementations • 21 Mar 2023 • Harry Dobbs, Oliver Batchelor, Richard Green, James Atlas
This paper introduces Smart-Tree, a supervised method for approximating the medial axes of branch skeletons from a tree point cloud.
no code implementations • 22 Nov 2022 • Casey Peat, Oliver Batchelor, Richard Green, James Atlas
We present Zero-NeRF, a projective surface registration method that, to the best of our knowledge, offers the first general solution capable of alignment between scene representations with minimal or zero visual correspondence.
no code implementations • 28 Aug 2020 • Weiwen Wu, Dianlin Hu, Chuang Niu, Lieza Vanden Broeke, Anthony P. H. Butler, Peng Cao, James Atlas, Alexander Chernoglazov, Varut Vardhanabhuti, Ge Wang
To address the image deblurring problem associated with the $L_2^2$-loss, we propose a general $L_p^p$-loss, $p>0$ Furthermore, the images from different energy bins share similar structures of the same object, the regularization characterizing correlations of different energy bins is incorporated into the $L_p^p$-loss function, which helps unify the deep learning based methods with traditional compressed sensing based methods.