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Found 3 papers, 1 papers with code
A Dual Iterative Refinement Method for Non-rigid Shape Matching
The key idea is to use dual information, such as spatial and spectral, or local and global features, in a complementary and effective way, and extract more accurate information from current iteration to use for the next iteration.
3dDepthNet: Point Cloud Guided Depth Completion Network for Sparse Depth and Single Color Image
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 image for robotics and autonomous driving tasks.
Efficient and Robust Shape Correspondence via Sparsity-Enforced Quadratic Assignment
To solve the resulting quadratic assignment problem efficiently, the two key ideas of our iterative algorithm are: 1) select pairs with good (approximate) correspondence as anchor points, 2) solve a regularized quadratic assignment problem only in the neighborhood of selected anchor points through sparsity control.
