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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.
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.
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