ENHANCED CONTRAST FOR OBJECT DETECTION AND CHARACTERIZATION BY OPTICAL IMAGING
First Claim
Patent Images
1. An image capture and analysis system for identifying objects of interest in a digitally represented image scene, the system comprising:
- at least one camera oriented toward a field of view;
at least one light source disposed on a same side of the field of view as the camera and oriented to illuminate the field of view; and
an image analyzer coupled to the camera and the at least one light source and configured to;
operate the at least one camera to capture a sequence of images including a first image captured at a time when the at least one light source is illuminating the field of view;
identify pixels corresponding to the object rather than to a background; and
based on the identified pixels, constructing a 3D model of the object, including a position and shape of the object, to geometrically determine whether it corresponds to the object of interest.
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Accused Products
Abstract
Enhanced contrast between an object of interest and background surfaces visible in an image is provided using controlled lighting directed at the object. Exploiting the falloff of light intensity with distance, a light source (or multiple light sources), such as an infrared light source, can be positioned near one or more cameras to shine light onto the object while the camera(s) capture images. The captured images can be analyzed to distinguish object pixels from background pixels.
99 Citations
24 Claims
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1. An image capture and analysis system for identifying objects of interest in a digitally represented image scene, the system comprising:
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at least one camera oriented toward a field of view; at least one light source disposed on a same side of the field of view as the camera and oriented to illuminate the field of view; and an image analyzer coupled to the camera and the at least one light source and configured to; operate the at least one camera to capture a sequence of images including a first image captured at a time when the at least one light source is illuminating the field of view; identify pixels corresponding to the object rather than to a background; and based on the identified pixels, constructing a 3D model of the object, including a position and shape of the object, to geometrically determine whether it corresponds to the object of interest. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method for capturing and analyzing images, the method comprising the steps of:
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activating at least one light source to illuminate a field of view containing an object of interest; capturing a sequence of digital images of the field of view using a camera at a time when the at least one light source is activated; identifying pixels corresponding to the object rather than to a background; and based on the identified pixels, constructing a 3D model of the object, including a position and shape of the object, to geometrically determine whether it corresponds to the object of interest. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18)
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19. A method of locating rounded objects within a digital image, the method comprising the steps of:
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activating at least one light source to illuminate a field of view containing an object of interest; operating a camera to capture a sequence of images including a first image captured at a time when the at least one light source is illuminating the field of view; and analyzing the images to detect therein Gaussian brightness falloff patterns indicative of rounded objects in the field of view. - View Dependent Claims (20, 21)
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22. An image capture and analysis system for locating rounded objects within a field of view, the system comprising:
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at least one camera oriented toward the field of view; at least one light source disposed on a same side of the field of view as the camera and oriented to illuminate the field of view; and an image analyzer coupled to the camera and the light source and configured to; operate the at least one camera to capture a sequence of images including a first image captured at a time when the at least one light source is illuminating the field of view; and analyze the images to detect therein Gaussian brightness falloff patterns indicative of rounded objects in the field of view. - View Dependent Claims (23, 24)
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Specification