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Found 12 papers, 5 papers with code
MIS-SLAM: Real-time Large Scale Dense Deformable SLAM System in Minimal Invasive Surgery Based on Heterogeneous Computing
Idled CPU is used to perform ORB- SLAM for providing robust global pose.
Efficient two step optimization for large embedded deformation graph based SLAM
In this paper, we propose an approach to decouple nodes of deformation graph in large scale dense deformable SLAM and keep the estimation time to be constant.
Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM
We also design benchmarking metrics for lifelong SLAM, with which the robustness and accuracy of pose estimation are evaluated separately.
Curved Buildings Reconstruction from Airborne LiDAR Data by Matching and Deforming Geometric Primitives
To this end, we propose a new framework for curved building reconstruction via assembling and deforming geometric primitives.
Dynamic Reconstruction of Deformable Soft-tissue with Stereo Scope in Minimal Invasive Surgery
Our SLAM system can: (1) Incrementally build a live model by progressively fusing new observations with vivid accurate texture.
Dynamic Reconstruction
Simultaneous Localization and Mapping
Uncertainty Quantification for Hyperspectral Image Denoising Frameworks based on Low-rank Matrix Approximation
Sliding-window based low-rank matrix approximation (LRMA) is a technique widely used in hyperspectral images (HSIs) denoising or completion.
A Closed-Form Uncertainty Propagation in Non-Rigid Structure from Motion
In this paper, we present a statistical inference on the element-wise uncertainty quantification of the estimated deforming 3D shape points in the case of the exact low-rank SDP problem.
Combining Deep Learning with Geometric Features for Image based Localization in the Gastrointestinal Tract
Considering these, we propose a novel approach to combine DL method with traditional feature based approach to achieve better localization with small training data.
Bayesian dense inverse searching algorithm for real-time stereo matching in minimally invasive surgery
Our Bayesian method correctly balances the probability of the patch for stereo images at different scales.
Fusing Convolutional Neural Network and Geometric Constraint for Image-based Indoor Localization
This paper proposes a new image-based localization framework that explicitly localizes the camera/robot by fusing Convolutional Neural Network (CNN) and sequential images' geometric constraints.
BDIS: Bayesian Dense Inverse Searching Method for Real-Time Stereo Surgical Image Matching
The patch-based fast disparity searching algorithm is adopted for the rectified stereo images.
BDIS-SLAM: A lightweight CPU-based dense stereo SLAM for surgery
Conclusion: The proposed BDIS-SLAM is a lightweight stereo dense SLAM system for MIS.
