Results from this low-level task are often used for higher level tasks such as tracking, counting, recognition, and classification.
On the other hand, higher level tasks, such as facial expression understanding or facial animation, require greater number of, e.g., from 20 30 to 60 80, landmarks [29, 30] as well as higher spatial accuracy.
During this computing period, four motors are controlled, the sensing and control processing is performed and then a time slot of nearly 80 ms is left for the higher level tasks, like UDP/IP-based communications.
An important part of current research on appearance based mapping works towards semantic representations of the environment, which may allow autonomous systems to perform higher level tasks and provide better human robot interaction.
In general, a method for model comparison is needed for many higher level tasks like model matching or model integration.
Up until very recently, most research on the symptoms of dyscalculia focused on higher level tasks such as addition, subtraction and problem solving.
Furthermore, much work remains to be done to establish to what extent basic training on number sense produces transfer to other higher level tasks, over what time period this occurs, the underlying brain mechanisms, and whether there is an optimal developmental time window during which intervention has the most impact.
The related scientific problems range from low-level control to high level task planning and execution.
A high level task analysis was used to guide a product walk through, and a toolkit approach was used thereafter to drive out further insights.
Actually, they often simply establish a high level task estimation (e.g., small, medium, large), in which large, or even medium, implies that they should consider breaking the story into smaller ones.
