Abstract:
Motion de-blurring systems and methods are described herein. One motion de-blurring system includes an image sensing element, one or more motion sensors in an imaging device, a lens element that undergoes motion during a capture of an image by the sensing element, and a de-blurring element to de-blur the image captured by the sensing element via de-convolving a Point Spread Function (PSF).
Abstract:
Devices, systems, and methods of performing feature detection on a set of multimedia files are disclosed. One method of organization includes identifying a feature from each multimedia file within the set of multimedia files wherein each file has one feature, organizing the features based on their similarities wherein similar features are grouped based upon a proximity in a feature space and a representative feature is identified for each group, receiving a detection model having one or more detection criteria the detection model having previously been trained for detection using the organized features, and using the representative features to apply the detection model in a decreasing order of detection probability in order to detect the files satisfying the detection criteria within the set of multimedia files.
Abstract:
Methods, devices, and systems for cross-sensor iris matching are described herein. One method includes capturing a first image of an iris using a first sensor, capturing a second image of an iris using a second sensor, and determining whether the iris in the first image matches the iris in the second image based on characteristics of the first sensor and the second sensor and image quality of the first image and the second image.
Abstract:
The present disclosure relates to devices, methods, and systems for cargo sensing. One cargo presence detection system includes one or more sensors positioned in an interior space of a container, and arranged to provide spatial data about at least a portion of the interior space of the container and a detection component that receives the spatial data from the one or more sensors and identifies if one or more cargo items are present in the interior space of the container based on analysis of the spatial data.
Abstract:
A system assesses the integrity of a digital image by detecting an edge in the digital image and defining a patch of pixels encompassing the edge. The system then generates data relating to intensity and gradient magnitude for pixels in the patch, analyzes the data relating to intensity and gradient magnitude, and determines that the digital image has been forged or the digital image has not been forged based on the analysis of the data relating to intensity and gradient magnitude.
Abstract:
Systems, methods, and devices for reducing an occlusion in an image are described herein. For example, one or more embodiments include a method including providing image information from a first image taken from a light field camera, analyzing image information from multiple sub-aperture images extracted from the image information of the first image to separate foreground and background appearance information, creating a mask of an occlusion based on the separated foreground and background appearance information, and rendering a second, modified image where the mask has been applied to reduce the occlusion in the modified image.
Abstract:
Generally discussed herein are techniques, software, apparatuses, and systems configured for variable depth of field scanners. In one or more embodiments, a method can include exposing a light sensor of a barcode scanner for a specified time, altering a focal point of a variable focus element situated in the light path of the light sensor from a first focal point to a second focal point in the specified time, and processing an image of a barcode produced by the light sensor to deblur the image.
Abstract:
Methods, devices, and systems for cross-sensor iris matching are described herein. One method includes capturing a first image of an iris using a first sensor, capturing a second image of an iris using a second sensor, and determining whether the iris in the first image matches the iris in the second image based on characteristics of the first sensor and the second sensor and image quality of the first image and the second image.
Abstract:
Methods, devices, and systems for barcode imaging are described herein. One method includes capturing image data that is used to form an image with a light field imager, wherein the image includes a barcode, locating the barcode within the image, measuring a variance of at least a portion of the barcode region of the image, and refocusing at least a portion of the image based on the measured variance.
Abstract:
Devices, systems, and methods of performing feature detection on a set of multimedia files are disclosed. One method of organization includes identifying a feature from each multimedia file within the set of multimedia files wherein each file has one feature, organizing the features based on their similarities wherein similar features are grouped based upon a proximity in a feature space and a representative feature is identified for each group, receiving a detection model having one or more detection criteria the detection model having previously been trained for detection using the organized features, and using the representative features to apply the detection model in a decreasing order of detection probability in order to detect the files satisfying the detection criteria within the set of multimedia files.