A novel illumination-invariant loss for monocular 3D pose estimation
The problem of identifying the 3D pose of a known object from a given 2D image has important applications in Computer Vision. Our proposed method of registering a 3D model of a known object on a given 2D photo of the object has numerous advantages over existing methods. It does not require prior training, knowledge of the camera parameters, explicit point correspondences or matching features between the image and model. Unlike techniques that estimate a partial 3D pose (as in an overhead...[Show more]
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|Jayawardena et al Featureless 2D 3D Pose Estimation 2011.pdf||491.66 kB||Adobe PDF|
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