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20172021
most citedFast 3D Line Segment Detection From Unorganized Point Cloud

61 citations · 70 across the 5 of their papers we have counts for

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cs.CV2021

3D Iterative Spatiotemporal Filtering for Classification of Multitemporal Satellite Data Sets

Hessah Albanwan, Rongjun Qin, Xiaohu Lu +3

The current practice in land cover/land use change analysis relies heavily on the individually classified maps of the multitemporal data set. Due to varying acquisition conditions…

cs.CV2019

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…

cs.CV20194 cited

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…

cs.CV201961 cited

Fast 3D Line Segment Detection From Unorganized Point Cloud

Xiaohu Lu, Yahui Liu, Kai Li

This paper presents a very simple but efficient algorithm for 3D line segment detection from large scale unorganized point cloud. Unlike traditional methods which usually extract 3…

cs.CV20175 cited

Learning to Refine Object Contours with a Top-Down Fully Convolutional Encoder-Decoder Network

Yahui Liu, Jian Yao, Li Li +2

We develop a novel deep contour detection algorithm with a top-down fully convolutional encoder-decoder network. Our proposed method, named TD-CEDN, solves two important issues in…