Abstract:
A method, apparatus, system, and computer readable storage medium provide the ability to pre-segment point cloud data. Point cloud data is obtained and segmented. The segment information is stored. An indexing structure is created and instantiated with the point cloud data and the segment information. Based on the segment information, a determination is made regarding points needed for shape extraction. Needed points are fetched from the indexing structure an used to extract shapes. The extracted shapes are used to cull points from the point cloud data.
Abstract:
A method, apparatus, system, and computer readable storage medium provide the ability to pre-segment point cloud data. Point cloud data is obtained and segmented. The segment information is stored. An indexing structure is created and instantiated with the point cloud data and the segment information. Based on the segment information, a determination is made regarding points needed for shape extraction. Needed points are fetched from the indexing structure an used to extract shapes. The extracted shapes are used to cull points from the point cloud data.
Abstract:
A method, system, and apparatus create a 3D CAD model. Scan data from two or more structured scans of a real-world scene are acquired and each scan processed independently by segmenting the scan data into multiple segments, filtering the scan data, and fitting an initial model that is used as a model candidate. Model candidates are clustered into groups and a refined model is fit onto the model candidates in the same group. A grid of cells representing points is mapped over the refined model. Each of the grid cells is labeled by processing each scan independently, labeling each cell located within the refined model as occupied, utilizing back projection to label remaining cells as occluded or empty. The labels from multiple scans are then combined. Based on the labeling, model details are extracted to further define and complete the refined model.
Abstract:
A method, system, apparatus, article of manufacture, and computer-readable storage medium provide the ability to merge multiple point cloud scans. A first raw scan file and a second raw scan file (each including multiple points) are imported. The scan files are segmented by extracting segments based on geometry in the scene. The segments are filtered to reduce a number of segments and identify features. A set of candidate matching feature pairs are acquired by coarsely registering features from one scan to features from another scan. The candidate pairs are refined by improving alignment based on corresponding points in the features. The candidate pairs are scored and then merged based on the scores.
Abstract:
A method, system, apparatus, article of manufacture, and computer-readable storage medium provide the ability to merge multiple point cloud scans. A first raw scan file and a second raw scan file (each including multiple points) are imported. The scan files are segmented by extracting segments based on geometry in the scene. The segments are filtered to reduce a number of segments and identify features. A set of candidate matching feature pairs are acquired by coarsely registering features from one scan to features from another scan. The candidate pairs are refined by improving alignment based on corresponding points in the features. The candidate pairs are scored and then merged based on the scores.
Abstract:
A method, apparatus, system, and computer readable storage medium provide the ability to pre-segment point cloud data. Point cloud data is obtained and segmented. Based on the segment information, a determination is made regarding points needed for shape extraction. Needed points are fetched and used to extract shapes. The extracted shapes are used to cull points from the point cloud data.
Abstract:
A method, apparatus, system, article of manufacture, and computer readable storage medium provide the ability to render point cloud data. After obtaining point cloud data, polygons are fit to the point cloud data. A texture atlas is created for each of the polygons. A lookup table is generated from the texture atlases and maps each pixel to a corresponding texture location. When a scene is loaded for rendering/processing, the polygons and texture atlas are loaded and projected into an off-screen buffer that defines a depth map of the scene with approximations of a depth per pixel in screen space. The off-screen buffer is used as a lookup table to determine texture data to be rendered for the scene.