Sentence examples for scene by using a from inspiring English sources

Rodriguez et al. [23] propose to model various crowd behavior (or motion) modalities at different locations of the scene by using a Correlated Topic Model (CTM).

In light of the above observations, one could argue that an effective multi-view reconstruction algorithm should exploit the underlying geometry of the scene by using an inter-signal modeling framework that ensures global consistency.

We use our recovered spectral measurements to recover the continuous spectral reflectance for each scene point by using a linear model for spectral reflectance.

A scene featuring multiple clones of the character Kurt Crawford was achieved with motion control photography, allowing actor David Lovgren to portray all of the clones multiple takes were recorded with the actor in different positions within the scene, and by using a camera controlled by a computer to follow exactly the same motions for each take, these could be seamlessly composited together.

The exposure of a pixel can be made to adapt to scene radiance by using an optical attenuator whose transmittance is computed based on the brightness measured by the pixel.

In the learning phase a model that represents the best distribution of the involved codewords in each category of scenes was built by using a learning algorithm based on Latent Dirichlet Allocation [35].

Recently released prisoner Jake Green (Statham, in rare full-hair glory) seeks revenge on mob boss Dorothy Macha (a scene-chewing Ray Liotta) by using a scheme he learned from his former cellmates, a brilliant conman and a master chess player.

In this paper, 3D scene to be captured by using a virtual pinhole array and be computationally recorded as an elemental image array (EIA), watermarking with GA optimization and computer-generated holography is implemented.

The scene classification is achieved by using a discriminative method (i.e., SVM or KNN).

By using a scene-dependent estimate of the luminance reference, our method can be applied to different types of images.

Considering that in SAR imaging, the underlying field usually exhibits a sparse structure, we previously proposed a sparsity-driven technique for joint SAR imaging of stationary scenes and space-invariant focusing by using a nonquadratic regularization-based framework [12].