A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf
.
Occlusion reasoning for object detection under arbitrary viewpoint
2012
2012 IEEE Conference on Computer Vision and Pattern Recognition
We present a unified occlusion model for object instance detection under arbitrary viewpoint. Whereas previous approaches primarily modeled local coherency of occlusions or attempted to learn the structure of occlusions from data, we propose to explicitly model occlusions by reasoning about 3D interactions of objects. Our approach accurately represents occlusions under arbitrary viewpoint without requiring additional training data, which can often be difficult to obtain. We validate our model
doi:10.1109/cvpr.2012.6248048
dblp:conf/cvpr/HsiaoH12
fatcat:shshsyglubb4pfinvlo4pypeji