VALIDATION AND CORRECTION OF MAP DATA USING OBLIQUE IMAGES
First Claim
1. A method for validating a map using an oblique image, the method comprising:
- sampling an image region of the oblique image;
computing a descriptor vector of the sampled image region;
applying a classifier function to the descriptor; and
classifying the sampled image region as consistent or inconsistent in response to applying the classifier.
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Accused Products
Abstract
Technologies are described herein for validating and correcting map data using oblique images or aerial photographs taken at oblique angles to the earth'"'"'s surface. Pixels within oblique images can be analyzed to detect, validate, and correct other sources of data used in generating maps such as vector data, elevation maps, projection parameters, and three-dimensional model data. Visibility and occlusion information in oblique views may be analyzed to reduce errors in either occluding or occluded entities. Occlusion of road segments due to foliage, z-ordering of freeways, tunnels, bridges, buildings, and other geospatial entities may be determined, validated, and corrected. A learning algorithm can be trained with image-based descriptors that encode visible data consistencies. After training, the algorithm can classify errors and inconsistencies using combinations of different descriptors such as color, texture, image-gradients, and filter responses.
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Citations
20 Claims
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1. A method for validating a map using an oblique image, the method comprising:
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sampling an image region of the oblique image; computing a descriptor vector of the sampled image region; applying a classifier function to the descriptor; and classifying the sampled image region as consistent or inconsistent in response to applying the classifier. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A computer storage medium having computer executable instructions stored thereon which, when executed by a computer, cause the computer to:
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sample an image region of an oblique image; compute a descriptor vector of the sampled image region; apply a classifier function to the descriptor; and classify the sampled image region as consistent or inconsistent in response to applying the classifier. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19)
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20. A method for validating a map using an oblique image, the method comprising:
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establishing training data comprising descriptor vectors associated with known image data; establishing a classifier based on hyperplanes that separate the training data by a maximal margin; sampling an image region of the oblique image; computing a descriptor vector of the sampled image region of the oblique image; applying a classifier function to the descriptor vector of the sampled image region; classifying the sampled image region as consistent or inconsistent in response to applying the classifier; and correcting map data associated with the oblique image in response to classifying the sampled image region as inconsistent.
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Specification