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3D sparse feature model using short baseline stereo and multiple view registration
conference contribution
posted on 2011-01-01, 00:00 authored by Matthew WatsonMatthew Watson, Asim BhattiAsim Bhatti, Saeid NahavandiThis 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.
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Event
International Conference on Mechatronics Technology (15th : 2011 : Melbourne, Vic.)Pagination
1 - 4Publisher
[ICMT]Location
Melbourne, Vic.Place of publication
[Melbourne, Vic.]Start date
2011-11-30End date
2011-12-02ISBN-13
9780732640187Language
engPublication classification
E1 Full written paper - refereedCopyright notice
2011, International Conference on Mechatronics TechnologyTitle of proceedings
ICMT 2011 : Proceedings of the 15th International Conference on Mechatronics Technology : Precision Mechatronics for Advanced Manufacturing, Service, and Medical SectorsUsage metrics
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