Augmented vision for medical applications

Trevisan, Daniela [Universidade Federal do Rio, Porto Alegre, Brazil] Nedel, Luciana [Universidade Federal do Rio, Porto Alegre, Brazil] Macq, Benoît [UCL]

Computer vision techniques for tracking real objects as surgical tools and organs of patients are been integrated in medical scenarios. We present a marker-based approach followed by a rigid registration procedure to align real and virtual objects. A maxillofacial surgery is being used as case study and our method provides virtual and augmented aid to the surgeon while performing osteotomy tasks. Results reached with the proposed system shows to be acceptable when compared with previous work.