A Multi-modal Graphical Model for Scene Analysis
In this paper, we introduce a multi-modal graphical model to address the problems of semantic segmentation using 2D-3D data exhibiting extensive many-to-one correspondences. Existing methods often impose a hard correspondence between the 2D and 3D data, where the 2D and 3D corresponding regions are forced to receive identical labels. This results in performance degradation due to misalignments, 3D-2D projection errors and occlusions. We address this issue by defining a graph over the entire set...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015|
|01_Taghavi+Namin_A_Multi-modal_Graphical_Model_2015.pdf||874.29 kB||Adobe PDF||Request a copy|
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