6 citations · 6 across the 3 of their papers we have counts for
5 papers
GTT-Net: Learned Generalized Trajectory Triangulation
Xiangyu Xu, Enrique Dunn
We present GTT-Net, a supervised learning framework for the reconstruction of sparse dynamic 3D geometry. We build on a graph-theoretic formulation of the generalized trajectory tr…
VOLDOR-SLAM: For the Times When Feature-Based or Direct Methods Are Not Good Enough
Zhixiang Min, Enrique Dunn
We present a dense-indirect SLAM system using external dense optical flows as input. We extend the recent probabilistic visual odometry model VOLDOR [Min et al. CVPR'20], by incorp…
VOLDOR: Visual Odometry from Log-logistic Dense Optical flow Residuals
Zhixiang Min, Yiding Yang, Enrique Dunn
We propose a dense indirect visual odometry method taking as input externally estimated optical flow fields instead of hand-crafted feature correspondences. We define our problem a…
Discrete Laplace Operator Estimation for Dynamic 3D Reconstruction
Xiangyu Xu, Enrique Dunn
We present a general paradigm for dynamic 3D reconstruction from multiple independent and uncontrolled image sources having arbitrary temporal sampling density and distribution. Ou…
Self-expressive Dictionary Learning for Dynamic 3D Reconstruction
Enliang Zheng, Dinghuang Ji, Enrique Dunn +1
We target the problem of sparse 3D reconstruction of dynamic objects observed by multiple unsynchronized video cameras with unknown temporal overlap. To this end, we develop a fram…