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20172022
most citedRobust Rigid Point Registration based on Convolution of Adaptive Gaussian Mixture Models

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2022

Illumination-Invariant Active Camera Relocalization for Fine-Grained Change Detection in the Wild

Nan Li, Wei Feng, Qian Zhang

Active camera relocalization (ACR) is a new problem in computer vision that significantly reduces the false alarm caused by image distortions due to camera pose misalignment in fin…

cs.CV2018

DUGMA: Dynamic Uncertainty-Based Gaussian Mixture Alignment

Can Pu, Nanbo Li, Radim Tylecek +1

Registering accurately point clouds from a cheap low-resolution sensor is a challenging task. Existing rigid registration methods failed to use the physical 3D uncertainty distribu…

cs.CV2018

Sdf-GAN: Semi-supervised Depth Fusion with Multi-scale Adversarial Networks

Can Pu, Runzi Song, Radim Tylecek +2

Refining raw disparity maps from different algorithms to exploit their complementary advantages is still challenging. Uncertainty estimation and complex disparity relationships amo…

cs.CV2018

Hybrid Multi-camera Visual Servoing to Moving Target

Hanz Cuevas-Velasquez, Nanbo Li, Radim Tylecek +2

Visual servoing is a well-known task in robotics. However, there are still challenges when multiple visual sources are combined to accurately guide the robot or occlusions appear.…

cs.CV20171 cited

Robust Rigid Point Registration based on Convolution of Adaptive Gaussian Mixture Models

Can Pu, Nanbo Li, Robert B Fisher

Matching 3D rigid point clouds in complex environments robustly and accurately is still a core technique used in many applications. This paper proposes a new architecture combining…