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147 results about "Bounding volume" patented technology

In computer graphics and computational geometry, a bounding volume for a set of objects is a closed volume that completely contains the union of the objects in the set. Bounding volumes are used to improve the efficiency of geometrical operations by using simple volumes to contain more complex objects. Normally, simpler volumes have simpler ways to test for overlap.

Digital impression for remote manufacturing of dental impressions

A “digital impression” is provided in lieu of a physical “dental” impression. A 3D digitizer is used to capture the digital impression, e.g., by scanning in a patient's oral cavity. A digital impression “data set” is formed using a computer-implemented method. The method begins by generating a three dimensional (3D) restoration model. Then, a bounding volume of the restoration model is computed. The bounding volume is defined as at least a minimum 3D volume that contains the 3D model. Thereafter, a lower solid 3D model, and an upper solid 3D model are created; these lower and upper models have a predetermined relationship with one another. In particular, when superimposed upon one another within the bounding volume, the lower and upper 3D models define a cavity into which the restoration model is adapted to fit. The restoration model, the lower solid 3D model and the upper solid 3D model are then aggregated into the data set to form the digital impression. Typically, the digital impression is generated at a first location, i.e., a dental office, and then transmitted to a second location, a dental laboratory, remote from the first location. Such transmission is conveniently done over a network, such as a TCP / IP network (e.g., the Internet). A dental item is then manufactured at the second location. Thus, for example, the lower solid 3D model may be used to build a coping, or the restoration model itself used to build a restoration. In the latter case, information in the data set may be used to check a fit of the restoration.
Owner:D4D TECH LP

Dynamic reallocation of processing cores for balanced ray tracing graphics workload

A ray tracing image processing system may use a plurality of processing elements to render a two dimensional image from a three dimensional scene. A first portion of the processing elements may function as workload managers responsible for performing operations relating to traversing a ray through a spatial index, and a second portion of the processing elements may function as vector throughput engines responsible for performing operations relating to determining if a ray intersects primitives contained within bounding volumes. By monitoring workloads experienced by the processing elements for a particular frame, processing element function may be reallocated such that for a subsequent frame the workload experienced by processing elements in the image processing system may be balanced. Balanced workload may improve the performance of the image processing system.
Owner:IBM CORP

Multi-dimensional mechanic operating collision avoidance method suitable for airborne collision avoidance system

A multi-dimensional mechanic operating collision avoidance method suitable for an airborne collision avoidance system belongs to the field of air traffic safety technology, and comprises the following steps: monitoring and tracking a native and a target airplane; adopting a protection area model based on a surrounding body to conduct flight conflict detection; adopting a real-time collision detection method to conduct collision threat detection; using a four-dimensional space-time mechanic operating collision avoidance model to calculate and evaluate the manner and the strength of a release advise RA; conducting coordination and decision-making of the release advise RA; displaying and publishing a traffic advise TA and the release advise RA; conducting omnidistance monitoring for collision release effect after adopting a mechanic operating collision avoidance measure of the native; relieving the traffic advise TA and the release advise RA. The method improves the limitation of only being able to provide two release advises of climbing/descending vertically of a conventional airborne collision avoidance system, so as to allow the airborne collision avoidance system to be able to provide six release advises (climbing/descending vertically, speeding up/speeding down horizontally, or turning left/turning right), and has the advantages of more flexible and effective.
Owner:SOUTHWEST UNIVERSITY FOR NATIONALITIES

Depth image-based modeling method and apparatus

A depth image-based modeling method and apparatus. A depth information-based modeling method using a three-dimensional (3D) polygonal mesh includes: extracting a bounding volume (BV) for the 3D polygonal mesh; obtaining a 3D grid by dividing the BV using a plurality of sampling lines; selecting some of a plurality of vertices of the 3D grid that intersect the 3D polygonal mesh as valid vertices; obtaining depth information and color information of the valid vertices by using a plurality of vertices of the 3D polygonal mesh; and modeling an object using the depth information and the color information of the valid vertices.
Owner:SAMSUNG ELECTRONICS CO LTD

Self collision detection method based on triangle mesh deformation body

InactiveCN102609992ASpeed ​​up the self-collision detection processImprove accuracyImage data processingGrid deformationCollision test
The invention discloses a self collision detection method based on a triangle mesh deformation body, comprising the steps of (1), constructing a data structure based on a hierarchical hounding volume (BVH); constructing an xBVH (expanded bounding volume hierarchy); constructing an SCTT (self-collision test tree)); optimizing star-shaped outline; (2), pre-processing self-collision detection based on the star-shaped outline; (3), performing self-collision test based on the star-shaped outline in real time. The method can detect the self-collision phenomenon during the deformation of the triangle mesh deformation body effectively in real time, accurately locates collision generation point and updates the collision information in real time.
Owner:BEIHANG UNIV

Expanding Empty Nodes in an Acceleration Data Structure

Embodiments of the invention may update an ADS (e.g., spatial index) when an object moves into an empty bounding volume by partitioning the empty bounding volume and adding corresponding nodes to an ADS. The added nodes may be branched to from an empty leaf node which corresponds to the empty bounding volume. Furthermore, embodiments of the invention may update an ADS when an object moves out of the empty bounding volume by removing the nodes which were added when the object moved into the empty bounding volume. In order to locate the nodes which were added, embodiments of the invention may assert a bit in a data structure associated with the empty leaf node when the nodes are added to the ADS.
Owner:IBM CORP

Parallel processing method drawn by pre-projection light ray projection body

The invention discloses a pre-projection ray casting volume rendering parallel processing method. The following steps are included in the volume rendering data handling procedure: calculating bounding volume of a three dimensional volumetric model; projecting the bounding volume in the screen space; storing the corresponding coordinates of a projection area; and conducing the parallel processing of volume rendering data. The method adopts the parallel processing manner of pre-projection, so that all the computing nodes do not need to wait for all tasks to be calculated and finished and then transmit the result data to a main node without waiting, and instead, the computing nodes send intermediate result data to the main node immediately after a task block is calculated and start the calculation for the next task block. Fewer task blocks are distributed to the main node at first. The method provides the optimum estimation for the number of task blocks distributed to each computing node, thereby greatly reducing the processing volume of data and improving the processing speed of data.
Owner:广东碳中和研究院(韶关)
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