1.2k citations · 2.8k across the 67 of their papers we have counts for
9 papers · 1 filter
Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose and Feature Correspondence
Dylan Campbell, Lars Petersson, Laurent Kneip +1
Estimating the 6-DoF pose of a camera from a single image relative to a pre-computed 3D point-set is an important task for many computer vision applications. Perspective-n-Point (P…
Deep Subspace Clustering Networks
Pan Ji, Tong Zhang, Hongdong Li +2
We present a novel deep neural network architecture for unsupervised subspace clustering. This architecture is built upon deep auto-encoders, which non-linearly map the input data…
Self-Supervised Learning for Stereo Matching with Self-Improving Ability
Yiran Zhong, Yuchao Dai, Hongdong Li
Exiting deep-learning based dense stereo matching methods often rely on ground-truth disparity maps as the training signals, which are however not always available in many situatio…
Monocular Dense 3D Reconstruction of a Complex Dynamic Scene from Two Perspective Frames
Suryansh Kumar, Yuchao Dai, Hongdong Li
This paper proposes a new approach for monocular dense 3D reconstruction of a complex dynamic scene from two perspective frames. By applying superpixel over-segmentation to the ima…
"Maximizing rigidity" revisited: a convex programming approach for generic 3D shape reconstruction from multiple perspective views
Pan Ji, Hongdong Li, Yuchao Dai +1
Rigid structure-from-motion (RSfM) and non-rigid structure-from-motion (NRSfM) have long been treated in the literature as separate (different) problems. Inspired by a previous wor…
Pixel-variant Local Homography for Fisheye Stereo Rectification Minimizing Resampling Distortion
Dingfu Zhou, Yuchao Dai, Hongdong Li
Large field-of-view fisheye lens cameras have attracted more and more researchers' attention in the field of robotics. However, there does not exist a convenient off-the-shelf ster…
Adaptive Low-Rank Kernel Subspace Clustering
Pan Ji, Ian Reid, Ravi Garg +2
In this paper, we present a kernel subspace clustering method that can handle non-linear models. In contrast to recent kernel subspace clustering methods which use predefined kerne…
Spatial-Temporal Union of Subspaces for Multi-body Non-rigid Structure-from-Motion
Suryansh Kumar, Yuchao Dai, Hongdong Li
Non-rigid structure-from-motion (NRSfM) has so far been mostly studied for recovering 3D structure of a single non-rigid/deforming object. To handle the real world challenging mult…
Semi-Dense Visual Odometry for RGB-D Cameras Using Approximate Nearest Neighbour Fields
Yi Zhou, Laurent Kneip, Hongdong Li
This paper presents a robust and efficient semi-dense visual odometry solution for RGB-D cameras. The core of our method is a 2D-3D ICP pipeline which estimates the pose of the sen…