Camera auto-calibration by horizon estimation
First Claim
1. A method for estimating a horizon on an image from a camera, said method comprising:
- providing first and second images from the camera;
providing a texture map from one of the images that locates horizontal edges in the image;
providing a motion map from a difference between the first and second images that locates areas in the images where no motion is occurring;
combining the texture map and the motion map to identify locations in the combined map that include a horizontal edge and do not move;
providing a horizontal projection that includes a count of identified locations in the horizontal direction in the combined map that included horizontal edges and do not move; and
identifying a maximum peak in the horizontal projection that identifies the estimated horizon in the images.
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Abstract
A method for estimating the horizon in an image of a camera to provide camera auto-calibration in the pitch direction. The method includes taking an image of a scene and generating a texture map of the image using horizontal edge detection analysis to locate horizontal edges in the scene. The method also includes providing a motion map by providing image differencing between subsequent images to find areas in the scene with no motion while the vehicle is moving. The texture map and the motion map are combined to identify the areas in the image that do not move and contain horizontal edges. A horizontal projection is generated from the combined map by counting white dots in the map in the horizontal direction. The horizontal projection is smoothed to eliminate noise and the location of the horizon is estimated in the image by identifying the maximum peak in the horizontal projection.
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Citations
20 Claims
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1. A method for estimating a horizon on an image from a camera, said method comprising:
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providing first and second images from the camera; providing a texture map from one of the images that locates horizontal edges in the image; providing a motion map from a difference between the first and second images that locates areas in the images where no motion is occurring; combining the texture map and the motion map to identify locations in the combined map that include a horizontal edge and do not move; providing a horizontal projection that includes a count of identified locations in the horizontal direction in the combined map that included horizontal edges and do not move; and identifying a maximum peak in the horizontal projection that identifies the estimated horizon in the images. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method for estimating a horizon in an image from a camera, said method comprising:
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providing first and second images from the camera; providing a texture map from one of the images that locates horizontal edges in the image as dots where providing the texture map includes using a horizontal edge detection analysis to locate the horizontal edges; providing a motion map from a difference between the first and second images that locates areas in the images as dots where no motion is occurring; combining the texture map and the motion map to identify locations in the combined map as dots that include a horizontal edge and do not move; providing a horizontal projection that includes a count in the horizontal direction of the white dots in the combined map that include horizontal edges and do not move in the combined map; and identifying a maximum peak in the horizontal projection that identifies the estimated horizon in the images. - View Dependent Claims (10, 11, 12, 13, 14)
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15. A system for estimating a horizon in an image from a camera, said method comprising:
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means for providing first and second images from the camera; means for providing a texture map from one of the images that locates horizontal edges in the image as dots; means for providing a motion map from a difference between the first and second images that locates areas in the images as dots where no motion is occurring; means for combining the texture map and the motion map to identify locations in the combined map as dots that include a horizontal edge and do not move; means for providing a horizontal projection that includes a count of the dots in the horizontal direction in the combined map that includes a horizontal edge and do not move; and means for identifying a maximum peak in the horizontal projection that identifies the estimated horizon in the images. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification