Featureless 2D-3D pose estimation by minimising an illumination-invariant loss
The problem of identifying the 3D pose of a known object from a given 2D image has important applications in Computer Vision ranging from robotic vision to image analysis. 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 neither require prior training nor learning, nor knowledge of the camera parameters, nor explicit point correspondences or matching features between image and model. Unlike...[Show more]
|Collections||ANU Research Publications|
|Source:||International Conference Image and Vision Computing New Zealand|
|01_Jayawardena_Featureless_2D-3D_pose_2010.pdf||1.73 MB||Adobe PDF||Request a copy|
|02_Jayawardena_Featureless_2D-3D_pose_2010.pdf||41.64 kB||Adobe PDF||Request a copy|
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