BDIS-SLAM: A lightweight CPU-based dense stereo SLAM for surgery

1 code implementation • 25 Dec 2023 • Jingwei Song, Ray Zhang, Qiuchen Zhu, Jianyu Lin, Maani Ghaffari

Conclusion: The proposed BDIS-SLAM is a lightweight stereo dense SLAM system for MIS.

Simultaneous Localization and Mapping Stereo Matching

BDIS: Bayesian Dense Inverse Searching Method for Real-Time Stereo Surgical Image Matching

2 code implementations • 6 May 2022 • Jingwei Song, Qiuchen Zhu, Jianyu Lin, Maani Ghaffari

The patch-based fast disparity searching algorithm is adopted for the rectified stereo images.

Stereo Matching

Bayesian dense inverse searching algorithm for real-time stereo matching in minimally invasive surgery

1 code implementation • 14 Jun 2021 • Jingwei Song, Qiuchen Zhu, Jianyu Lin, Maani Ghaffari

Our Bayesian method correctly balances the probability of the patch for stereo images at different scales.

Stereo Matching

Hierarchical Convolutional Neural Network with Feature Preservation and Autotuned Thresholding for Crack Detection

no code implementations • 21 Apr 2021 • Qiuchen Zhu, Tran Hiep Dinh, Manh Duong Phung, Quang Phuc Ha

The proposed technique is then applied to identify surface cracks on the surface of roads, bridges or pavements.

Binarization

Crack Detection Using Enhanced Hierarchical Convolutional Neural Networks

no code implementations • 13 Dec 2019 • 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 quality visual data.