Search Results for author:
Found 11 papers, 2 papers with code
Self-optimizing loop sifting and majorization for 3D reconstruction
Our proposed algorithm can compare the usefulness and effectiveness of different loops with the dense map posterior (DMP) metric.
A metric for evaluating 3D reconstruction and mapping performance with no ground truthing
It is not easy when evaluating 3D mapping performance because existing metrics require ground truth data that can only be collected with special instruments.
More Informed Random Sample Consensus
In the hypothesis sampling step of the proposed method, data is sorted with a sorting algorithm we proposed, which sorts data based on the likelihood of a data point being in the inlier set.
FaultFace: Deep Convolutional Generative Adversarial Network (DCGAN) based Ball-Bearing Failure Detection Method
From the obtained faceportraits, a Deep Convolutional Generative Adversarial Network is employed to produce new faceportraits of the nominal and failure behaviors to get a balanced dataset.
Digital Twin Enabled Smart Control Engineering as an Industrial AI: A New Framework and A Case Study
In this paper, a novel framework is proposed for the design and implementation of Digital Twin applications to the development of Smart Control Engineering.
Information-Based Model Discrimination for Digital Twin Behavioral Matching
Its search can be done using optimization-based techniques, producing a family of models based on different system datasets, so, a discrimination criterion is required to determine the best Digital Twin model.
Optimal Randomness in Swarm-Based Search
L\'{e}vy flights is a random walk where the step-lengths have a probability distribution that is heavy-tailed.
LoopSmart: Smart Visual SLAM Through Surface Loop Closure
Sparse feature matching is used for visual odometry and globally camera pose fine-tuning when dense loops are detected, while dense surface alignment is the way of closing large loops and solving surface mismatching problem.
Point Cloud Registration
Simultaneous Localization and Mapping
+2
Single image super-resolution using self-optimizing mask via fractional-order gradient interpolation and reconstruction
Image super-resolution using self-optimizing mask via fractional-order gradient interpolation and reconstruction aims to recover detailed information from low-resolution images and reconstruct them into high-resolution images.
Fractional Calculus In Image Processing: A Review
Over the last decade, it has been demonstrated that many systems in science and engineering can be modeled more accurately by fractional-order than integer-order derivatives, and many methods are developed to solve the problem of fractional systems.
Blind Detection and Compensation of Camera Lens Geometric Distortions
This paper presents a blind detection and compensation technique for camera lens geometric distortions.
