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3D sparse feature model using short baseline stereo and multiple view registration
conference contributionposted on 2011-01-01, 00:00 authored by Matthew WatsonMatthew Watson, Asim BhattiAsim Bhatti, Saeid NahavandiSaeid Nahavandi
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.