Sentence examples for occlusion detection from inspiring English sources

Several theoretical results are shown for occlusion detection and topology recovery, which are then validated by simulations and experiments.

Based on the variable-structure multiple-model (VSMM) estimation framework, this paper extends an interacting object tracking (IOT) scheme with occlusion detection and a virtual measurement model for occluded areas.

The effectiveness and efficiency experiments show that the proposed approach can improve the vehicle segmentation result and the vehicle occlusion detection.

E. Lobaton, R. Vasudevan, R. Bajcsy, and R. Alterovitz, "Local occlusion detection under deformations using topological invariants," in Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III, ECCV'10, Berlin, Heidelberg: Springer-Verlag, 2010, pp. 101-114.

In the disparity refinement step, an effective comprehensive refinement scheme is designed by performing measures of occlusion detection, boundary disparity initialization, disparity plane fitting, outlier suppression and discontinuity amendment, which can further correct matching errors and improve the matching accuracy effectively.

Fig. 9 Occlusion detection.

The occlusion detection-based fusion allows a rate reduction of 6.6%, while using adaptive validation, we achieve up to more than 20% rate reduction and obtain an average of more than 9%.

Finally, as far as the fusion method is concerned, we introduce two innovations: an occlusion detection-based fusion and an adaptive fusion, capable of restoring the inter-view or temporal interpolations instead of the fusion when needed.

The estimated pose is used for self-occlusion detection.

The experimental results showed that the self-occlusion detection had high accuracy and our proposed method delivered a noticeable improvement in the 3D face reconstruction performance compared with previous methods.

This process is prone to errors due to occlusions, detection noise, and the proximity between markers.