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…
Using Orthophoto for Building Boundary Sharpening in the Digital Surface Model
Xiaohu Lu, Rongjun Qin, Xu Huang
Nowadays dense stereo matching has become one of the dominant tools in 3D reconstruction of urban regions for its low cost and high flexibility in generating dense 3D points. Howev…
A Comparison of Stereo-Matching Cost between Convolutional Neural Network and Census for Satellite Images
Bihe Chen, Rongjun Qin, Xu Huang +2
Stereo dense image matching can be categorized to low-level feature based matching and deep feature based matching according to their matching cost metrics. Census has been proofed…