Sentence examples for estimation object from inspiring English sources

Such image filters have been successfully used as a basis for expressing a large number of visual operations in computer vision, regarding feature detection, feature classification, motion estimation, object recognition, spatio-temporal recognition, and shape estimation.

In fact, there are some tasks in which no differences were apparent between zoo and sanctuary apes (e.g., quantity estimation, object tracking tasks, see Herrmann et al. 2007; Barth and Call 2006).

During the real-time evaluation test, artificial perception system outputs (i.e., hand position and orientation estimation, object identification, position estimation, and grasp type selection) that are used to update the stimulation parameters were visually inspected with the custom graphical interface developed in the MATLAB software.

In the area of computer vision, a multi-scale differential geometric framework in terms of Gaussian derivatives and closely related operators has become an accepted and de facto standard for defining image features for feature detection, feature classification, stereo matching, motion estimation, object recognition, spatio-temporal recognition, shape analysis, and image enhancement.

Unlike FEM simulation, since mass-spring system requires the fast computational cost instead of accurate estimation of object movement, it has been widely applied for real-time animation or simulation of deformable objects.

The applications of these algorithms include grasp stability estimation, tactile object recognition, tactile servoing and force control.

The lens correction method successfully corrects the distortion caused by the camera lens, thus achieving a more accurate and precise estimation of object position.

We found this own-body-size effect using a variety of measures: verbal estimation of object size and distance, indication of the perceived size with two hands (bimanual size estimation), and estimation of the perceived distance by walking that distance blindfolded.

This paper presents the application of neural networks in software quality estimation using object-oriented metrics.

To assess the public health impact of injuries due to foreign body aspirations and ingestions among children in terms of overall magnitude and estimation of object-specific incidence.

The simulated network of multiple Matching Units provided estimations of object-dependent 5-finger grasp configurations with endpoint positional errors in the order of a few millimeters.