3D sparse feature model using short baseline stereo and multiple view registration
Watson, Matthew, Bhatti, Asim and Nahavandi, Saeid 2011, 3D sparse feature model using short baseline stereo and multiple view registration, in ICMT 2011 : Proceedings of the 15th International Conference on Mechatronics Technology : Precision Mechatronics for Advanced Manufacturing, Service, and Medical Sectors, [ICMT], [Melbourne, Vic.], pp. 1-4.
ICMT 2011 : Proceedings of the 15th International Conference on Mechatronics Technology : Precision Mechatronics for Advanced Manufacturing, Service, and Medical Sectors
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.
ISBN
9780732640187
Language
eng
Field of Research
089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective
970108 Expanding Knowledge in the Information and Computing Sciences
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.