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Figure 4 Exemplars from multiple views are matched to a test sequence.
A set of image sequences from multiple views are applied to evaluate performance.
This paper focuses on activity recognition when multiple views are available.
Multiple views are produced using linear or folded linear X-ray detector arrays.
Subspace learning algorithms learn a latent subspace, from which multiple views are generated.
Multiple views are defined for plant objects to express static, dynamic, and functional semantics of these objects.
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Another 3D object tracking method that uses multiple views was presented in [17].
An IJSR model for SAR target recognition under multiple views is proposed in this paper.
On the other hand, since 3D video could not be deployed if the quality perceived by the user does not exceed the existing 2D quality standards, the bandwidth for storage and transmission of the multiple views is accordingly increased.
The highest velocity obtained from multiple views was used.
ICA was performed according to standard techniques, and multiple views were stored on a CD-ROM.
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