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Furthermore, a mirror-aided scanning approach, which aims to achieve reduced incident angles in real scanning environments, is proposed and validated by experiments.
Further verification was conducted by using two types of trapezoidal sequence inputs usually used, which is to simulate real scanning sequences for small animals.
Suppose at a visit of a patient, ten OCT images are to be acquired, which needs the scanning time of a few tens sec (0.1 sec of real scanning time for one image).
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GOM Inspect enables verification of real scanned objects presented as polygonal meshes with nominal ones.
Here, the accuracy is measured by comparing the difference between the Kinect scan positions (i.e. estimated trajectory) with its real scan positions (i.e. ground truth).
Experiments with virtual and real environments perceived from 2D laser and sonar scanners are presented, including the validation of the model with a real scans dataset.
GOM Inspect provides four methods to compare polygonal mesh of the real scanned geometrical form of a cylindrical shape with that of the nominal one built in GOM Inspect.
Thus, this model could sufficiently approximate real scan paths without loss of critical information.
To model a real scan-path, two hypotheses were proposed: firstly, the edge of path graph was weighted by eye movement parameters.
Because the path graph consists of vertices and the edges between them, it approximates the real scan path of eye movement trajectories.
Real scans of the 2-D gel zone where DMRL synthase protein is located (16 kDa, pI 6.6) are shown in Figure 2B.
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