Real-Time Point Cloud Refinement

MED provides all available operators, media items and containers in two windows (operator selection window and media item selection window).. These windows provide

The architecture was sized in order to accommodate high resolution images of high dynamic range with 1024×768 pixels and 28 bits per pixel.. It should be noted that memory

This paper presents a novel point refinement method for irregularly sampled, dynamic points coming from a particle-based fluid simulation.. Our interpolation algorithm can

Moreover, the distribution of interest points on the surface of an object remains similar in transformed objects, which is a desirable behavior in applications such as shape

We move from an objective reading of the object (point cloud) to a reading enhanced by the cognitive input from an operator (architectural semantisation work).. This

We present an algorithm for extracting these lines from piecewise linear tensor fields by finding and connecting all intersections with the cell faces of a data set.. The core of

A method for mutual telexistence based on the projection of real- time images of the operator onto a surrogate robot using retrore- flective projection technology (RPT) was

The following timings were obtained: (1) initialization time de- notes the time required to prepare all necessary buffers after a new PC has been loaded; (2) mapping computation