30 citations · 51 across the 8 of their papers we have counts for
8 papers
LiDAR-guided Stereo Matching with a Spatial Consistency Constraint
Yongjun Zhang, Siyuan Zou, Xinyi Liu +3
The complementary fusion of light detection and ranging (LiDAR) data and image data is a promising but challenging task for generating high-precision and high-density point clouds.…
A Unified Framework of Bundle Adjustment and Feature Matching for High-Resolution Satellite Images
Xiao Ling, Xu Huang, Rongjun Qin
Bundle adjustment (BA) is a technique for refining sensor orientations of satellite images, while adjustment accuracy is correlated with feature matching results. Feature match-ing…
Individual Tree Detection and Crown Delineation with 3D Information from Multi-view Satellite Images
Changlin Xiao, Rongjun Qin, Xiao Xie +1
Individual tree detection and crown delineation (ITDD) are critical in forest inventory management and remote sensing based forest surveys are largely carried out through satellite…
Geometric Processing for Image-based 3D Object Modeling
Rongjun Qin, Xu Huang
Image-based 3D object modeling refers to the process of converting raw optical images to 3D digital representations of the objects. Very often, such models are desired to be dimens…
CamVox: A Low-cost and Accurate Lidar-assisted Visual SLAM System
Yuewen Zhu, Chunran Zheng, Chongjian Yuan +2
Combining lidar in camera-based simultaneous localization and mapping (SLAM) is an effective method in improving overall accuracy, especially at a large scale outdoor scenario. Rec…
Multi-View Large-Scale Bundle Adjustment Method for High-Resolution Satellite Images
Xu Huang, Rongjun Qin
Given enough multi-view image corresponding points (also called tie points) and ground control points (GCP), bundle adjustment for high-resolution satellite images is used to refin…