Here Global B.v.

Guangli Wu

Antonio Haro

Jeffrey Minoru Adachi

Victor Lu

Ian Endres

An approach is provided for regularizing building footprints. The approach, for example, involves designating a vertex of an initial building footprint as an initial vertex of a regularized footprint. The approach also involves generating an edge from the initial vertex to a next vertex of the initial footprint to add to the regularized footprint when that the edge can connect along a taxicab distance. The taxicab distance, for instance, is based on a rectilinear geometry between two points. The approach further involves adding a new vertex to the regularized footprint when the edge cannot connect along the taxicab distance. The edge then connects the initial vertex to the new vertex, and another edge connects the new vertex to the next vertex along the taxicab distance. The approach further involves generating a subsequent new edge or vertex of the regularized footprint for each subsequent next vertex of the initial footprint.

Method and apparatus for regularizing building footprints using taxicab distance

An approach involves receiving pixel-level labeling data for an image depicting at least a portion of a building facade. The pixel-level labeling data labels each of a plurality of pixels of the image as either window pixels or non-window pixels. The approach further involves generating a window pattern based on window size data, window spacing data, or a combination thereof extracted from the pixel-level labeling data. The approach further involves computing a confidence score for the window pattern based on at least one observed value of at least one characteristic of the window pattern or a deviation of the observed value from at least one expected value, and generating an abstract texture based on the window pattern, the confidence score, and/or other probabilistic metrics.

Method and apparatus for generating an abstract texture for a building facade or model

An approach is provided for generating a cleaned object model to represent an object in a mapping database. The approach includes receiving point cloud data depicting the object. The approach also includes processing the point cloud data to determine one or more surface points of the point cloud data. The one or more surface points represent one or more surfaces of the object. The approach further includes cutting a model of the object into one or more fragments using the one or more surface points. The one or more fragments include one or more object fragments and one or more non-object fragments. The approach further includes designating the one or more object fragments as the cleaned object model to represent the object in the mapping database.

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San Mateo, CA, United States of America

Guangli Wu