3 papers
cs.CV2020
A Dual Iterative Refinement Method for Non-rigid Shape Matching
Rui Xiang, Rongjie Lai, Hongkai Zhao
In this work, a simple and efficient dual iterative refinement (DIR) method is proposed for dense correspondence between two nearly isometric shapes. The key idea is to use dual in…
cs.CV2020
3dDepthNet: Point Cloud Guided Depth Completion Network for Sparse Depth and Single Color Image
Rui Xiang, Feng Zheng, Huapeng Su +1
In this paper, we propose an end-to-end deep learning network named 3dDepthNet, which produces an accurate dense depth image from a single pair of sparse LiDAR depth and color imag…
cs.CV2020
Efficient and Robust Shape Correspondence via Sparsity-Enforced Quadratic Assignment
Rui Xiang, Rongjie Lai, Hongkai Zhao
In this work, we introduce a novel local pairwise descriptor and then develop a simple, effective iterative method to solve the resulting quadratic assignment through sparsity cont…