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The triangulation technique as a tool for straightforward 2D point projection or simulation of the synthetic data.

The triangulation technique as a tool for straightforward 2D point projection or simulation of the synthetic data.

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Figure 1. Example of 3D sensing of an indoor environment in the form of...
Figure 2. An overview of the EPCC-based segmentation.
Figure 3. The concept of planar depth image segmentation with the EPCC...
Figure 4. Acquiring of a depth image through inverse disparity,...
+18 Figure 5. Depth image (a) and the corresponding point cloud (b). (c)...
Depth-Image Segmentation Based on Evolving Principles for 3D Sensing of Structured Indoor Environments
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  • Jun 2021
This paper presents an approach of depth image segmentation based on the Evolving Principal Component Clustering (EPCC) method, which exploits data locality in an ordered data stream. The parameters of linear prototypes, which are used to describe different clusters, are estimated in a recursive manner. The main contribution of this work is the ext...
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... updated aspect of triangulation equations is shown in Figure 8, where 2D-coordinates are defined as ...
Context 2
... d y is the distance from the y c -axis and can be obtained by considering horizontal offset ϕ of the spatial point ( Figure 8) Figure 7. Depth vs range. Every depth pixel value is a measurement from the parallel plane of the imaging devices (i.e., a pair of cameras) and not the absolute range to the object. ...