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Found 9 papers, 0 papers with code
Global Point Cloud Registration Network for Large Transformations
In this paper, we present ReLaTo (Registration for Large Transformations), an architecture that faces the cases where large transformations happen while maintaining good performance for local transformations.
Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain Study
For this, we propose a methodology based on Siamese neural networks in which a series of techniques are integrated to mitigate the effects of data scarcity and distribution imbalance.
RGB-D-based Framework to Acquire, Visualize and Measure the Human Body for Dietetic Treatments
The 3D body models will be used for studying the effect of visualization on adherence to obesity treatment using 2D and VR devices.
When Deep Learning Meets Data Alignment: A Review on Deep Registration Networks (DRNs)
Recent advancements in machine learning could be a turning point in these issues, particularly with the development of deep learning (DL) techniques, which are helping to improve multiple computer vision problems through an abstract understanding of the input data.
Hybrid Multi-camera Visual Servoing to Moving Target
A Master supervisor task selects between using the EtoH or the EinH, depending on the distance between the robot and target.
3D non-rigid registration using color: Color Coherent Point Drift
Evaluation is performed using synthetic and real data.
μ-MAR: Multiplane 3D Marker based Registration for Depth-sensing Cameras
Experiments have been performed using synthetic and real data.
Three-dimensional planar model estimation using multi-constraint knowledge based on k-means and RANSAC
Plane model extraction from three-dimensional point clouds is a necessary step in many different applications such as planar object reconstruction, indoor mapping and indoor localization.
Best Viewpoint Tracking for Camera Mounted on Robotic Arm with Dynamic Obstacles
The problem of finding a next best viewpoint for 3D modeling or scene mapping has been explored in computer vision over the last decade.
