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An iterative image registration technique with an application to stereo vision.
The kinematics of the medial UKA was determined using a 3-dimensional model registration technique.
In vivo tibiofemoral contact positions were obtained using the 3- to 2-dimensional image registration technique.
Two different strategies were considered: a completely automatic registration technique and a semi-automatic method based on an anatomical referencing.
A new dynamic registration technique is designed to elastically align a sequence of 2-D ultrasound (US) images.
A thermally enhanced edge registration technique is presented for precision aligning large numbers of laminae in diffusion bonding processes.
Three-dimensional kinematics was analyzed by fluoroscopic examinations of subjects using a single-plane model-image registration technique.
The registration method has comparable performance to our previous registration technique; however, has the advantage of lower computational requirements and hence, is potentially more suitable for clinical applications.
The registration technique recovered 75% of the deformation in the region of interest accounting for deformations as large as 20 mm.
Based on static registration technique, several groups of processing nodes do parallel scene pictures taking, 3D registration and virtual-real merging.
This study proposes a new image registration technique, which is based on the combination of feature-based matching (FBM) and area-based matching (ABM).
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