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Featureless 2D-3D pose estimation by minimising an illumination-invariant loss

Jayawardena, Srimal; Hutter, Marcus; Brewer, Nathan


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]

CollectionsANU Research Publications
Date published: 2010
Type: Conference paper
Source: International Conference Image and Vision Computing New Zealand
DOI: 10.1109/IVCNZ.2010.6148854


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02_Jayawardena_Featureless_2D-3D_pose_2010.pdf41.64 kBAdobe PDF    Request a copy

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