Abstract: Rendering real-time three-dimensional computer models is a resource-intensive task, and even more so for point cloud objects. Level of detail is traditionally performed using a small number of fixed-size independent models. A new system is presented of rendering point cloud objects with efficient dynamic level of detail. Several novel point cloud dynamic level of detail techniques are presented that are fairly simple to implement and significantly more efficient in terms of managing rendering load, data reduction, and memory consumption. The novel point cloud dynamic level of detail techniques can be employed to optimize or otherwise improve the rendering efficiency of rendering point cloud objects.

Abstract: Rendering real-time three-dimensional computer models is a resource-intensive task, and even more so for point cloud objects. Level of detail is traditionally performed using a small number of fixed-size independent models. A new system is presented of rendering point cloud objects with efficient dynamic level of detail. Several novel point cloud dynamic level of detail techniques are presented that are fairly simple to implement and significantly more efficient in terms of managing rendering load, data reduction, and memory consumption. The novel point cloud dynamic level of detail techniques can be employed to optimize or otherwise improve the rendering efficiency of rendering point cloud objects.

Abstract: The present invention may be used to analyze subject content, search and analyze reference content, compare the subject and reference content for similarity, and output comparison reports between the subject and reference content. The present invention may incorporate and utilize text from intrinsic and/or extrinsic subject documents. The analysis may employ a variety of metrics, including scores generated from a natural language processing system, scores based on classification similarity, scores based on proximity similarity, and in the case of analysis of patent documents, scores based on measurement of claims.

Abstract: The present invention may be used to analyze subject content, search and analyze reference content, compare the subject and reference content for similarity, and output comparison reports between the subject and reference content. The present invention may incorporate and utilize text from intrinsic and/or extrinsic subject documents. The analysis may employ a variety of metrics, including scores generated from a natural language processing system, scores based on classification similarity, scores based on proximity similarity, and in the case of analysis of patent documents, scores based on measurement of claims.