Abstract: An automated, computerized method is provided for processing an image. The method includes the steps of arranging a digital camera on a vehicle body, operating the digital camera to provide an image file depicting an image of a scene related to vehicle operation on a road, in a computer memory, receiving from the memory the image file depicting pixels of an image of the scene related to vehicle operation on a road, and using an analysis of the pixels to generate an illumination invariant image of the scene. A further process step includes using the illumination invariant image to analyze the road scene for painted road markings.

Abstract: An automated, computerized method is provided for processing an image. The method includes the steps of arranging a digital camera on a vehicle body, operating the digital camera to provide an image file depicting an image of a scene related to vehicle operation on a road, in a computer memory, receiving from the memory the image file depicting pixels of an image of the scene related to vehicle operation on a road, and using an analysis of the pixels to generate an illumination invariant image of the scene. The illumination-invariant image is converted to a grayscale image and the grayscale image is then converted to an illumination-invariant color image.

Abstract: An automated, computerized method is provided for processing an image. The method includes the steps of arranging a digital camera on a vehicle body, operating the digital camera to provide an image file depicting an image of a scene related to vehicle operation on a road, in a computer memory, receiving from the memory the image file depicting pixels of an image of the scene related to vehicle operation on a road, and using an analysis of the pixels to generate an illumination invariant image of the scene. A further process step includes using the illumination invariant image to analyze the road scene for painted road markings.

Abstract: An automated, computerized method is provided for processing an image. The method includes the steps of providing an image file depicting an image, in a computer memory, identifying a dominant region of single reflectance in the image and segregating the image into intrinsic images as a function of the dominant region of single reflectance.

Abstract: An automated, computerized method is provided for processing an image. The method includes the steps of providing an image file depicting an image, in a computer memory, identifying a dominant region of single reflectance in the image and segregating the image into intrinsic images as a function of the dominant region of single reflectance.

Abstract: An automated, computerized method is provided for processing an image. The method includes the steps of arranging a digital camera on a vehicle body, operating the digital camera to provide an image file depicting an image of a scene related to vehicle operation on a road, in a computer memory, receiving from the memory the image file depicting pixels of an image of the scene related to vehicle operation on a road, and using an analysis of the pixels to generate an illumination invariant image of the scene. A further process step includes using the illumination invariant image to analyze the road scene for painted road markings.

Abstract: An automated, computerized method is provided for processing an image. The method includes the steps of arranging a digital camera on a vehicle body, operating the digital camera to provide an image file depicting an image of a scene related to vehicle operation on a road, in a computer memory, receiving from the memory the image file depicting pixels of an image of the scene related to vehicle operation on a road, and using an analysis of the pixels to generate an illumination invariant image of the scene. A further process step includes using the illumination invariant image to analyze the road scene for painted road markings.

Abstract: An automated, computerized method is provided for processing an image. The method includes the steps of arranging a digital camera on a vehicle body, operating the digital camera to provide an image file depicting an image of a scene related to vehicle operation on a road, in a computer memory, receiving from the memory the image file depicting pixels of an image of the scene related to vehicle operation on a road, and using an analysis of the pixels to generate an illumination invariant image of the scene.

Abstract: An automated, computerized method is provided for processing an image. The method includes the steps of providing an image file depicting an image, in a computer memory, determining intrinsic component information as a function of spatio-spectral information for the image, and calculating analytical information, as a function of the intrinsic component information.

Abstract: The invention relates to a venetian mask wherein the strap that holds the mask to the face is removed and replaced with two temple arms extending to on or around the ears of the wearer or sides of the head. The temple arms or devices secure the mask to the head in a more comfortable manner. Taking off and putting on a mask is now easy due to the inventions improvement.

Abstract: The invention relates to aerospace fuselages or space vehicles comprising a spherical shape used to hold at least one propulsion device. A method of providing a way to correctly move, stop, and change directions in space since multi-directional propulsion is now available at any instant in time without the need to rotate a fuselage. when using a plurality of propulsion devices distributed on or within the bulkhead of the spherical fuselage.

Abstract: The invention relates to a propulsion device for a space craft wherein matter is accelerated to increase its mass and therefor its gravity. A method utilizing Albert Einsteins theory related to the increase in mass with acceleration. Accelerated mass exudes gravity, which can be used to pull objects through space.

Abstract: An automated, computerized method is provided for processing an image. The method comprises the steps of providing a sequence of image files depicting images of a same scene, in a computer memory, determining correspondence information relevant to the same scene across the sequence of images, and generating individual intrinsic images for each one of the sequence of images, as a function of the correspondence information.

Abstract: An automated, computerized method is provided for processing an image. The method includes the steps of arranging a digital camera on a vehicle body, operating the digital camera to provide an image file depicting an image of a scene related to vehicle operation on a road, in a computer memory, receiving from the memory the image file depicting pixels of an image of the scene related to vehicle operation on a road, and using an analysis of the pixels to generate an illumination invariant image of the scene. A further process step includes using the illumination invariant image to analyze the road scene for painted road markings.

Abstract: A method and system comprising image processing techniques that utilize spatio-spectral information relevant to an image, derived from multiple sets of selectively varied representations of the image to accurately and correctly identify illumination and material aspects of the image is provided. Blend pixels are detected to improve the accuracy of the identification of the illumination and material aspects of the image.

Abstract: There is provided a current sense circuit (134). An exemplary current sense circuit (134) comprises a voltage-to-current converter circuit (218) that is adapted to receive a voltage that is proportional to a load current drawn from a battery (110) by a load (202) and to produce a current proportional to the load current, and a current-to-voltage converter circuit (228) that is adapted to receive the current proportional to the load current and to produce a voltage proportional to the load. current based on a regulated voltage source (230).

Abstract: An automated, computerized method for processing a video is provided. The method includes providing a video file depicting a video, in a computer memory; scale separating the video file to generate a first scale-separated video and a second scale-separated video corresponding to the video; filtering at least one of the first scale-separated video and the second scale-separated video independent of the other of the first scale-separated video and the second scale-separated video to provide at least one independently filtered video; and compressing the at least one independently filtered video to provide at least one compressed video.

Abstract: A method and system comprising image processing techniques is provided that utilize spatio-spectral information relevant to an image, derived from multiple sets of selectively varied representations of the image to accurately and correctly identify illumination and material aspects of the image. In an exemplary embodiment of the present invention, a scale-spaced pyramid arrangement is provided to preserve the purity of color from scale to scale, to insure accuracy in the identification of illumination and material aspects of the image.

Abstract: A soft, weighted constraint imposed upon image locations temporally spaced in frames of a video, can be used to provide a more accurate segregation of an image into intrinsic material reflectance and illumination components. The constraint is arranged to constrain all color band variations between the image locations into one integral constraining relationship.

Abstract: There is provided a current sense circuit (134). An exemplary current sense circuit (134) comprises a voltage-to-current converter circuit (218) that is adapted to receive a voltage that is proportional to a load current drawn from a battery (110) by a load (202) and to produce a current proportional to the load current, and a current-to-voltage converter circuit (228) that is adapted to receive the current proportional to the load current and to produce a voltage proportional to the load current based on a regulated voltage source (230).