首页|Researchers Submit Patent Application, 'Machine Learning Techniques For Direct B oundary Representation Synthesis', for Approval (USPTO 20240289505)
Researchers Submit Patent Application, 'Machine Learning Techniques For Direct B oundary Representation Synthesis', for Approval (USPTO 20240289505)
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News editors obtained the following quote from the background information suppli ed by the inventors: “ “Field of the Various Embodiments “Embodiments of the present disclosure relate generally to machine learning and computer-aided design and, more specifically, to machine learning techniques for generating representations of three-dimensional objects in boundary representat ion format.” As a supplement to the background information on this patent application, NewsRx correspondents also obtained the inventors’ summary information for this patent application: “In one embodiment of the present invention, a computer-implemente d method includes generating a vertex list that includes a first ordered list of elements representing vertex coordinates and sampling a first index from the ve rtex list based on a first probability distribution. The technique also includes generating an edge list and sampling a second index from one or more indices in to the edge list. The technique further includes generating an element in a face list, dereferencing the element in the face list to retrieve an element in the edge list, and dereferencing an element in the edge list to retrieve a vertex co ordinate from an element in the vertex list. The technique further includes gene rating an indexed boundary representation for the 3D CAD model based on at least the vertex list, the edge list, and the face list.
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