3D sparse feature model using short baseline stereo and multiple view registration
Contribuinte(s) |
[Unknown] |
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Data(s) |
01/01/2011
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Resumo |
This paper outlines a methodology to generate a distinctive object representation offline, using short-baseline stereo fundamentals to triangulate highly descriptive object features in multiple pairs of stereo images. A group of sparse 2.5D perspective views are built and the multiple views are then fused into a single sparse 3D model using a common 3D shape registration technique. Having prior knowledge, such as the proposed sparse feature model, is useful when detecting an object and estimating its pose for real-time systems like augmented reality. |
Identificador | |
Idioma(s) |
eng |
Publicador |
[ICMT] |
Relação |
http://dro.deakin.edu.au/eserv/DU:30042215/watson-3dsparse-2011.pdf http://dro.deakin.edu.au/eserv/DU:30042215/watson-3dsparse-evidence-2011.pdf http://sites.google.com/site/2011icmt/ |
Direitos |
2011, International Conference on Mechatronics Technology |
Palavras-Chave | #augmented reality #a-priori #multi-view |
Tipo |
Conference Paper |