Geometric Ltd.

Tathagata Chakraborty

A method for rendering data of a 3D CAD assembly includes a parsing step for creating an array storing the size and location of the data, a sorting step of sorting the array in decreasing order of the size of the data, a loading step of sequentially loading the data of as many parts as will fit into memory, a rendering process of sequentially rendering the data of the parts from memory, an update process executed concurrently with the rendering process of removing from memory the data of parts loaded earlier by the update process that have already been rendered in the current rendering pass and loading into memory data of parts yet to be rendered in the current rendering pass, and an auto-optimize process of removing, after each rendering pass, the data of a subset of the parts loaded into the available memory by the loading process.

Auto-optimizing out-of-core method and system for rendering of large engineering 3D CAD assemblies on handheld devices

A system for large scale spatial positioning of a 3D virtual object in a 3D virtual scene, includes a computing device. The computing device: displays a guide plane attached to the object, the guide plane passing through a center of the object and being translucent, the guide plane indicating lines and curves of intersection between the guide plane and other objects of the scene. When moving the object along an axis, the computing device determines a normal of the guide plane to be parallel to the axis and passing through the center of the object, and moves the guide plane with the movement of the object. When moving the object across the movement plane, the computing device determines a normal of the guide plane to be parallel to a normal of the movement plane, and holds the guide plane static.

Method and system for 3D object positioning in 3D virtual environments

Traditional techniques of 3D data retrieval using names and subjective attributes are not robust and are difficult to automate over large 3D repositories. Certain techniques developed for search and classification of 2D engineering designs, are in general, difficult to extend to 3D models. These issues are addressed by a system for automated search and classification for 3D CAx models based on their geometric 'shape,' which is often an indication of design, analysis and manufacturing process similarity. A new method and system are provided for representing 3D shape as a composition of multiple 2D image projections, which are transformed using the Discrete Fourier and Harr Wavelet transforms. Key coefficients of the transforms are then stored in the 3D model repository and are used to efficiently search and classify such repositories.

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Mumbai, India

Tathagata Chakraborty