Sentence examples for estimate of objects from inspiring English sources

To ensure unbiased estimate of objects counted, the method uses a guard zone at the bottom and top of each section to correct for objects plucked during sectioning, so the disector thickness is always smaller than the thickness of the section.

When Weiss fed the model numbers mimicking motion signals detected by the retina, he found that the model behaved surprisingly like a human: It came up with precise estimates of objects' motion in good "lighting" conditions and made the same mistakes when conditions were less optimal.

It can detect and estimate pose of objects simultaneously from the pose of the model of matched template image.

Human visual system perceives depth by combining multiple cues [28] from all domains to estimate distances of objects or relative displacements between them.

Since dilating the sampling interval would prevent the system from reacting quickly to changes in object popularity, Beehive aggregates popularity data from multiple nodes to arrive at accurate estimates of object popularity within a relatively short sampling interval.

Combining estimates by this MLE rule yields the least variable estimate of and thus more precise estimates of object properties.

The visual sensor-based tracking system is assisted by identification sensors in identifying the estimated positions of objects.

Since the association system knows the locations of identification sensors and the estimated positions of objects, it can check whether an object is within the coverage of the identification sensor by using the distance between them.

In research published in 2003, they used a series of visual puzzles to demonstrate that individuals who played action games at least four days per week for a minimum of one hour per day were better than non-gamers at rapidly processing complex information, estimating numbers of objects, controlling where their attention was focused spatially, and switching rapidly between tasks.

The xDriver system computes the estimated position of objects, according to the state of the car and its current scene.

The local estimate results are then sent to the global estimator to generate a global estimate of the object.