Abstract: Flare compensation includes obtaining a first input frame, which includes lens flare, and a second input frame; obtaining a stitch line between the first input frame and the second input frame; obtaining, for the first input frame, a first intensity profile; obtaining, for the second input frame, a second intensity profile; obtaining an intensity differences profile; obtaining a first dark corner profile based on a first illumination of a first area outside a first image circle of the first input frame; obtaining a second dark corner profile based on a second illumination of a second area outside a second image circle of the second input frame; obtaining a dark corner difference profile; calculating a flare model; obtaining a flare mask; and correcting the first input frame by subtracting the flare mask from the first input frame.

Abstract: Flare compensation includes obtaining a first input frame, which includes lens flare, and a second input frame; obtaining a stitch line between the first input frame and the second input frame; obtaining, for the first input frame, a first intensity profile; obtaining, for the second input frame, a second intensity profile; obtaining an intensity differences profile; obtaining a first dark corner profile based on a first illumination of a first area outside a first image circle of the first input frame; obtaining a second dark corner profile based on a second illumination of a second area outside a second image circle of the second input frame; obtaining a dark corner difference profile; calculating a flare model; obtaining a flare mask; and correcting the first input frame by subtracting the flare mask from the first input frame.

Abstract: Image signal processing may include flare reduction, which may include obtaining a first input frame captured by a first image capture device of an image capture apparatus, the first image capture device having a first field-of-view, and the first input frame including lens flare corresponding to a primary light source; obtaining a second input frame captured by a second image capture device of the image capture apparatus, the second image capture device having a second field-of-view partially overlapping the first field-of-view; obtaining primary light source information corresponding to the primary light source based on the first input frame and the second input frame; obtaining a processed frame by modifying the first input frame based on the primary light source information to minimize the lens flare; and outputting the processed frame.

Abstract: Image signal processing may include flare reduction, which may include obtaining a first input frame captured by a first image capture device of an image capture apparatus, the first image capture device having a first field-of-view, and the first input frame including lens flare corresponding to a primary light source; obtaining a second input frame captured by a second image capture device of the image capture apparatus, the second image capture device having a second field-of-view partially overlapping the first field-of-view; obtaining primary light source information corresponding to the primary light source based on the first input frame and the second input frame; obtaining a processed frame by modifying the first input frame based on the primary light source information to minimize the lens flare; and outputting the processed frame.

Abstract: Method for creating a spatial model of a target object with a hand-held distance measuring device, the device comprising a laser distance meter, a camera, a computing unit and a data storage device, the method comprising measuring with the laser distance meter one or more distances to the target object from different positions, storing the measured distances in the data storage device, capturing with the camera a plurality of images of the target object, wherein each of the measured distances is associated with one of the captured images, determining with the computing unit relative camera poses for the plurality of images, and calculating with the computing unit based on the plurality of images and on the determined relative camera poses a three-dimensional geometry of the target object.

Abstract: Method for creating a spatial model of a target object with a hand-held distance measuring device, the device comprising a laser distance meter, a camera, a computing unit and a data storage device, the method comprising measuring with the laser distance meter one or more distances to the target object from different positions, storing the measured distances in the data storage device, capturing with the camera a plurality of images of the target object, wherein each of the measured distances is associated with one of the captured images, determining with the computing unit relative camera poses for the plurality of images, and calculating with the computing unit based on the plurality of images and on the determined relative camera poses a three-dimensional geometry of the target object.