Sentence examples for significant occlusion from inspiring English sources

The improvement is more prominent in the images with significant occlusion (between 30 and 50%%) and poor contrast.

It is well recognized that small angular differences during orthodontic treatment can result in significant occlusion alterations [9], which could affect masticatory muscle balance [10, 11], cause functional disharmony and relapse [12].

In order to deal with low-quality fingerprint images, which introduce significant occlusion and clutter of minutiae features, we design a fitness function based on the local properties of each triplet of minutiae.

Only the largest class (Class 4) shows significant occlusion of the central channel.

We show in two tumor models, that is, human ovarian carcinoma (A2780) xenografted on the chorioallantoic membrane of the chicken embryo (chicken chorioallantoic membrane (CAM)) and in colorectal carcinoma in Balb/c mice, that treatment with sunitinib and its subsequent photoexcitation leads to significant occlusion of the vasculature and inhibition of tumor growth.

Teams rated their probability in selecting the correct answer between 84 - 100% (depending on the question), reflecting their strong confidence, and the adequacy of our video collection techniques, in identifying key features of the fall (barring significant occlusion of body parts from the camera view, which did not occur).

It has been proved that in spite of significant occlusions, changing background and multiple interacting, the subject can be tracked successfully [5].

For example, in Fig. 5, vehicle 5 and 6 had significant occlusions while waiting to enter the roundabout from the ramp.

We also demonstrate the use of the hSO in providing context for enhanced object localization in the presence of significant occlusions, and show its superior performance over a fully connected graphical model for the same task.

Also notice vehicles 5 and 6 had significant occlusions (while they were waiting to enter the roundabout), due to an existing vehicle 7 inside the roundabout and vehicle 8 from the other ramp entrance (which actually gave a case of rejected gap).

The use of the ALiDAR data together with L-Architect allowed quantifying how significant object occlusion affects untreated data.