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Therefore, a recognition method based on depth image segmentation from an RGB-D camera is not sufficient.
In this paper, we adopt a technique based on depth image segmentation from an RGB-D camera [19].
However, the object detection method based on depth image segmentation allows us to extract all objects in space.
Second, the Kinect system was developed with algorithms to determine the joint locations based on depth image data measured using cameras fixed on the ground.
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The authors of [8] proposed two approaches based on depth of image-based rendering to compare synthesized views and occlusions.
Accordingly, we introduce our hybrid intensity depth segmentation (HIDS) method, a hybrid segmentation based on depth and intensity images.
Lee et al. also proposed a method to summarise a 3D animation into a single image based on depth information [25].
Lastly, those algorithms not based on depth recovery but on interpolation from image coordinates, (LI) and (CS), yield the worst results.
In this case, since neither the object depth nor the size changes significantly, the algorithms based on image plane interpolation perform better than those based on depth recovery, as can be seen in Fig. 20.
Since the noise in depth images has a non-constant standard deviation, and some depth details are sometimes masked by noise, estimating the motion based on depth only is not very reliable.
Wang et al. [33] proposed a fast depth video encoding algorithm based on depth video partitioning.
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