47 citations · 61 across the 6 of their papers we have counts for
6 papers
BDIS-SLAM: A lightweight CPU-based dense stereo SLAM for surgery
Jingwei Song, Ray Zhang, Qiuchen Zhu +2
Purpose: Common dense stereo Simultaneous Localization and Mapping (SLAM) approaches in Minimally Invasive Surgery (MIS) require high-end parallel computational resources for real-…
BDIS: Bayesian Dense Inverse Searching Method for Real-Time Stereo Surgical Image Matching
Jingwei Song, Qiuchen Zhu, Jianyu Lin +1
In stereoscope-based Minimally Invasive Surgeries (MIS), dense stereo matching plays an indispensable role in 3D shape recovery, AR, VR, and navigation tasks. Although numerous Dee…
Bayesian dense inverse searching algorithm for real-time stereo matching in minimally invasive surgery
Jingwei Song, Qiuchen Zhu, Jianyu Lin +1
This paper reports a CPU-level real-time stereo matching method for surgical images (10 Hz on 640 * 480 image with a single core of i5-9400). The proposed method is built on the fa…
Hierarchical Convolutional Neural Network with Feature Preservation and Autotuned Thresholding for Crack Detection
Qiuchen Zhu, Tran Hiep Dinh, Manh Duong Phung +1
Drone imagery is increasingly used in automated inspection for infrastructure surface defects, especially in hazardous or unreachable environments. In machine vision, the key to cr…
Crack Detection Using Enhanced Hierarchical Convolutional Neural Networks
Qiuchen Zhu, Manh Duong Phung, Quang Ha
Unmanned aerial vehicles (UAV) are expected to replace human in hazardous tasks of surface inspection due to their flexibility in operating space and capability of collecting high…
Reconfigurable Multi-UAV Formation Using Angle-Encoded PSO
V. T. Hoang, M. D. Phung, T. H. Dinh +2
In this paper, we propose an algorithm for the formation of multiple UAVs used in vision-based inspection of infrastructure. A path planning algorithm is first developed by using a…