Sentence examples for different cameras from from inspiring English sources

These pictures represent natural and urban landscapes, people, or objects, taken with many different cameras from 2 to 5 millions of pixels.

It can be concluded that, when different views (from different cameras) from the same person are acquired, the appearance related with texture and grayscale histogram statistics are more relevant.

"They get feeds of different cameras from all the outlets broadcasting, and they'll say which angle was used to make the determination".

The same planar object contour imaged from different cameras or from different viewpoints looks different and their recognition is non-trivial.

The first subset (i.e., (mathcal {D}_{4}) in Section 4.4.1) consists of 1000 images taken by 50 cameras, with the number of images acquired by different cameras ranging from 10 to 60, and the second subset (i.e., (mathcal {D}_{5}) in section 4.4.1) consists of 1024 images, with 24 additional singleton images (i.e., they are from 24 different cameras) added to the first subset.

For the CLM-based tracking, which is to track humans through establishing the link (correlation) models between two adjacent or among multiple neighboring cameras to compensate for the feature difference derived from different cameras.

This indicates that when features from different views (from different cameras) are acquired the features related to RGB color are affected by the change in the acquisition camera, in contrast, the features in HSV color space are more robust to lighting changes.

Finally, it is interesting to remember that Hughes et al. [24] concluded that 'no significant differences were observed between image resolutions when data acquired from different cameras were reconstructed with an independent algorithm.

In this way, three-dimensional measurements can be recovered from the 2D coordinates of the features extracted from different cameras.

In the final step, a GMM of detected person from a camera is matched with other GMMs from different cameras to identify a same person.

Color alignment from different cameras in the radial plane was performed using the color alignment slide from GE Healthcare (Pittsburg, PA).