Search Results for author:
Found 9 papers, 3 papers with code
3D Multi-frame Fusion for Video Stabilization
In this paper, we present RStab, a novel framework for video stabilization that integrates 3D multi-frame fusion through volume rendering.
When Epipolar Constraint Meets Non-local Operators in Multi-View Stereo
This constraint reduces the 2D search space into the epipolar line in stereo matching.
Ranked #3 on
3D Reconstruction
on DTU
Fast Full-frame Video Stabilization with Iterative Optimization
Video stabilization refers to the problem of transforming a shaky video into a visually pleasing one.
Constraining Depth Map Geometry for Multi-View Stereo: A Dual-Depth Approach with Saddle-shaped Depth Cells
Learning-based multi-view stereo (MVS) methods deal with predicting accurate depth maps to achieve an accurate and complete 3D representation.
Learning Probabilistic Coordinate Fields for Robust Correspondences
We introduce Probabilistic Coordinate Fields (PCFs), a novel geometric-invariant coordinate representation for image correspondence problems.
A2B: Anchor to Barycentric Coordinate for Robust Correspondence
This approach offers a new perspective to alleviate the problem of repeated patterns and emphasizes the importance of choosing coordinate representations for feature correspondences.
Point-and-Shoot All-in-Focus Photo Synthesis from Smartphone Camera Pair
Benefiting from the multi-camera module in modern smartphones, we introduce a new task of AIF synthesis from main (wide) and ultra-wide cameras.
Learning Second-Order Attentive Context for Efficient Correspondence Pruning
It is challenging because of the disorganized spatial distribution of numerous outliers, especially when putative correspondences are largely dominated by outliers.
LRF-Net: Learning Local Reference Frames for 3D Local Shape Description and Matching
The local reference frame (LRF) acts as a critical role in 3D local shape description and matching.
