RECOGNITION OF HUMAN POSE FROM IMAGES BASED ON GRAPH SPECTRA
Recognition of human pose is an actual problem in computer vision. To increase the reliability of the recognition it is proposed to use structured information in the form of graphs. The spectrum of graphs is applied for the comparison of the structures. Image skeletonization is used to construct gra...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2015-05-01
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-5-W6/9/2015/isprsarchives-XL-5-W6-9-2015.pdf |