Abstract
The invention discloses a method for RGB-D image segmentation, which is based on the fact that the method carries out semantic level segmentation on an RGB-D color depth image, extracts foreground pixel information in the depth image and takes a weight matrix as output for weighting and assisting feature information extraction in the RGB image, so that important feature information under two modes mutually complements and responds, the loss of the feature information in the sampling process is fully compensated, the feature expression in the semantic or space fineness is improved, and particularly the method has stronger sensitivity on object edge information.
Original language | English |
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Patent number | CN114723951B |
Priority date | 8/06/22 |
Publication status | Published - 4 Nov 2022 |