Abstract:
Various embodiments are generally directed to techniques for employing a hybrid of sequential and parallel processing to perform random sample and consensus (RANSAC). A device to perform RANSAC includes a derivation component to derive a first set of proposed models in parallel from a first set of minimal sample sets of a data set; and a comparison component to recalculate a required quantity of proposed models to derive an accurate model if a proposed model of the first set of proposed models better fits the data set than any proposed model derived prior to derivation of the first set of proposed models, and to determine whether to derive a second set of proposed models following derivation of the first set of proposed models based on a comparison of the required quantity to a quantity of previously derived proposed models that includes the first set. Other embodiments are described and claimed.
Abstract:
Various embodiments are generally directed to techniques for employing a hybrid of sequential and parallel processing to perform random sample and consensus (RANSAC). A device to perform RANSAC includes a derivation component to derive a first set of proposed models in parallel from a first set of minimal sample sets of a data set; and a comparison component to recalculate a required quantity of proposed models to derive an accurate model if a proposed model of the first set of proposed models better fits the data set than any proposed model derived prior to derivation of the first set of proposed models, and to determine whether to derive a second set of proposed models following derivation of the first set of proposed models based on a comparison of the required quantity to a quantity of previously derived proposed models that includes the first set. Other embodiments are described and claimed.
Abstract:
Apparatuses, methods and storage medium associated with computing, including processing of image frames, are disclosed herein. In embodiments, an apparatus may include an accelerometer and an image processing engine having an object tracking function. The object tracking function may be arranged to track an object from one image frame to another image frame. The object tracking function may use acceleration data output by the accelerometer to assist in locating the object in an image frame. Other embodiments may be described and claimed.
Abstract:
Techniques for multiple pass rendering include receiving vertex data for one or more objects to be enhanced. Parameters in a display list may be determined using the vertex data. Multiple pixel rendering passes may be run using the parameters in the display list. An enhanced depiction of the one or more objects may be rendered based on the multiple pixel rendering passes. Other embodiments are described and claimed.
Abstract:
Techniques may be directed to enhancing multiple view performance in a three dimensional pipeline. A plurality of view transformations associated with an image may be received. The vertex data associated with the image may be received. Operation data may be determined by performing the view transformations on the compiled vertex data. A plurality of display lists may be determined through a single run of a vertex pipeline. A display list may be based on the operation data. Other embodiments are described and claimed.