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Found 4 papers, 1 papers with code
Inner-Scene Similarities as a Contextual Cue for Object Detection
In this work, we explore a different kind of contextual information: inner-scene similarity.
3D Point Cloud Registration for Localization Using a Deep Neural Network Auto-Encoder
We present an algorithm for registration between a large-scale point cloud and a close-proximity scanned point cloud, providing a localization solution that is fully independent of prior information about the initial positions of the two point cloud coordinate systems.
Graph Based Over-Segmentation Methods for 3D Point Clouds
This 3D information introduces a new conceptual change that can be utilized to improve the results of over-segmentation, which uses mainly color information, and to generate clusters of points we call super-points.
Depth Perception in Autostereograms: 1/f-Noise is Best
An autostereogram is a single image that encodes depth information that pops out when looking at it.
