background: mitral valve prolapse (mvp) is now recognized as the most common cardiovalvular abnormality (cva) in the usa, but there has been much less agreement about other aspects of its epidemiology, diagnosis and clinical features. cva analysis still relies mainly on the visual assessment of echocardiographic imaging and manual measurements by experienced cardiologists. so, automating or sem...

The navigation task is a very demanding application for mobile users. The algorithms of present software solutions are based on the established methods of car navigation systems and thus exhibit some inherent disadvantages: findings in spatial cognition research have shown that human users need landmarks for an easy and successful wayfinding. Typically, however, an object is not a landmark per ...

Cranial anthropometric reference points (landmarks) play an important role in craniofacial reconstruction and identification. Knowledge to detect the position of landmarks is critical. This work aims locate automatically. Landmarks positioning using Surface Curvature Feature (SCF) inspired by conventional methods finding based on morphometrical features. Each cranial landmark has a unique shape...

Localisation, the ability to find out the position, is essential to a mobile robot. The most common localisation method is to use a Kalman filter to fuse the data from dead reckoning data with the observations of environment features. The different artificial landmarks have been introduced to correct the error of dead reckoning, including visual landmark based methods. Since multiple landmarks ...

Our mobile robot system uses scale-invariant visual landmarks to localize itself and build a 3D map of the environment simultaneously. As image features are not noise-free, we carry out error analysis and use Kalman Filters to track the 3D landmarks, resulting in a database map with landmark positional uncertainty. By matching a set of landmarks as a whole, our robot can localize itself globall...